Profiling Report Raw Data

Dataset statistics

Number of variables	49
Number of observations	268850
Missing cells	2539905
Missing cells (%)	19.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	89.7 MiB
Average record size in memory	350.0 B

Variable types

Categorical	13
Numeric	21
Boolean	6
Text	9

Alerts

`telekomHybridUploadSpeed` has constant value ""	Constant
`telekomTvOffer` is highly imbalanced (83.5%)	Imbalance
`newlyConst` is highly imbalanced (60.2%)	Imbalance
`electricityBasePrice` is highly imbalanced (58.0%)	Imbalance
`serviceCharge` has 6909 (2.6%) missing values	Missing
`heatingType` has 44856 (16.7%) missing values	Missing
`telekomTvOffer` has 32619 (12.1%) missing values	Missing
`telekomHybridUploadSpeed` has 223830 (83.3%) missing values	Missing
`telekomUploadSpeed` has 33358 (12.4%) missing values	Missing
`totalRent` has 40517 (15.1%) missing values	Missing
`yearConstructed` has 57045 (21.2%) missing values	Missing
`noParkSpaces` has 175798 (65.4%) missing values	Missing
`firingTypes` has 56964 (21.2%) missing values	Missing
`yearConstructedRange` has 57045 (21.2%) missing values	Missing
`houseNumber` has 71018 (26.4%) missing values	Missing
`condition` has 68489 (25.5%) missing values	Missing
`interiorQual` has 112665 (41.9%) missing values	Missing
`petsAllowed` has 114573 (42.6%) missing values	Missing
`streetPlain` has 71013 (26.4%) missing values	Missing
`typeOfFlat` has 36614 (13.6%) missing values	Missing
`thermalChar` has 106506 (39.6%) missing values	Missing
`floor` has 51309 (19.1%) missing values	Missing
`numberOfFloors` has 97732 (36.4%) missing values	Missing
`description` has 19747 (7.3%) missing values	Missing
`facilities` has 52924 (19.7%) missing values	Missing
`heatingCosts` has 183332 (68.2%) missing values	Missing
`energyEfficiencyClass` has 191063 (71.1%) missing values	Missing
`lastRefurbish` has 188139 (70.0%) missing values	Missing
`electricityBasePrice` has 222004 (82.6%) missing values	Missing
`electricityKwhPrice` has 222004 (82.6%) missing values	Missing
`serviceCharge` is highly skewed (γ1 = 409.1643225)	Skewed
`totalRent` is highly skewed (γ1 = 466.5675418)	Skewed
`noParkSpaces` is highly skewed (γ1 = 210.5968365)	Skewed
`baseRent` is highly skewed (γ1 = 500.2019466)	Skewed
`livingSpace` is highly skewed (γ1 = 373.8392602)	Skewed
`noRooms` is highly skewed (γ1 = 249.536282)	Skewed
`floor` is highly skewed (γ1 = 155.4380567)	Skewed
`numberOfFloors` is highly skewed (γ1 = 114.0924256)	Skewed
`heatingCosts` is highly skewed (γ1 = 63.88736061)	Skewed
`lastRefurbish` is highly skewed (γ1 = 24.62432609)	Skewed
`scoutId` has unique values	Unique
`serviceCharge` has 3434 (1.3%) zeros	Zeros
`picturecount` has 4971 (1.8%) zeros	Zeros
`pricetrend` has 11082 (4.1%) zeros	Zeros
`noParkSpaces` has 3855 (1.4%) zeros	Zeros
`floor` has 24604 (9.2%) zeros	Zeros
`heatingCosts` has 2754 (1.0%) zeros	Zeros

Reproduction

Analysis started	2024-04-03 18:23:20.995005
Analysis finished	2024-04-03 18:29:53.331912
Duration	6 minutes and 32.34 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

regio1
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Nordrhein_Westfalen	62863
Sachsen	58154
Bayern	21609
Sachsen_Anhalt	20124
Hessen	17845
Other values (11)	88255

Length

Max length	22
Median length	18
Mean length	12.165297
Min length	6

Characters and Unicode

Total characters	3270640
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nordrhein_Westfalen
2nd row	Rheinland_Pfalz
3rd row	Sachsen
4th row	Sachsen
5th row	Bremen

Common Values

Value	Count	Frequency (%)
Nordrhein_Westfalen	62863	23.4%
Sachsen	58154	21.6%
Bayern	21609	8.0%
Sachsen_Anhalt	20124	7.5%
Hessen	17845	6.6%
Niedersachsen	16593	6.2%
Baden_Württemberg	16091	6.0%
Berlin	10406	3.9%
Thüringen	8388	3.1%
Rheinland_Pfalz	8368	3.1%
Other values (6)	28409	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nordrhein_westfalen	62863	23.4%
sachsen	58154	21.6%
bayern	21609	8.0%
sachsen_anhalt	20124	7.5%
hessen	17845	6.6%
niedersachsen	16593	6.2%
baden_württemberg	16091	6.0%
berlin	10406	3.9%
thüringen	8388	3.1%
rheinland_pfalz	8368	3.1%
Other values (6)	28409	10.6%

Most occurring characters

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

serviceCharge
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	12266
Distinct (%)	4.7%
Missing	6909
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	151.20611

Minimum	0
Maximum	146118
Zeros	3434
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	95
median	135
Q3	190
95-th percentile	300
Maximum	146118
Range	146118
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	308.29579
Coefficient of variation (CV)	2.0389109
Kurtosis	192110.29
Mean	151.20611
Median Absolute Deviation (MAD)	45
Skewness	409.16432
Sum	39607080
Variance	95046.294
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	14293	5.3%
100	12995	4.8%
200	11147	4.1%
120	10650	4.0%
130	7455	2.8%
140	6997	2.6%
80	6979	2.6%
180	6812	2.5%
250	6422	2.4%
90	6337	2.4%
Other values (12256)	171854	63.9%
(Missing)	6909	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3434	1.3%
0.01	5	< 0.1%
1	22	< 0.1%
1.5	3	< 0.1%
1.55	2	< 0.1%
1.7	1	< 0.1%
1.9	1	< 0.1%
2	4	< 0.1%
2.02	1	< 0.1%
2.3	3	< 0.1%

Value	Count	Frequency (%)
146118	1	< 0.1%
25000	1	< 0.1%
20392	1	< 0.1%
15750	1	< 0.1%
10038	1	< 0.1%
9999	1	< 0.1%
6500	1	< 0.1%
6045	1	< 0.1%
3800	1	< 0.1%
3500	2	< 0.1%

heatingType
Categorical

MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	44856
Missing (%)	16.7%
Memory size	2.1 MiB

central_heating	128977
district_heating	24808
gas_heating	19955
self_contained_central_heating	19087
floor_heating	17697
Other values (8)	13470

Length

Max length	30
Median length	15
Mean length	15.881412
Min length	9

Characters and Unicode

Total characters	3557341
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	central_heating
2nd row	self_contained_central_heating
3rd row	floor_heating
4th row	district_heating
5th row	self_contained_central_heating

Common Values

Value	Count	Frequency (%)
central_heating	128977	48.0%
district_heating	24808	9.2%
gas_heating	19955	7.4%
self_contained_central_heating	19087	7.1%
floor_heating	17697	6.6%
oil_heating	5042	1.9%
heat_pump	2737	1.0%
combined_heat_and_power_plant	1978	0.7%
night_storage_heater	1341	0.5%
wood_pellet_heating	961	0.4%
Other values (3)	1411	0.5%
(Missing)	44856	16.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
central_heating	128977	57.6%
district_heating	24808	11.1%
gas_heating	19955	8.9%
self_contained_central_heating	19087	8.5%
floor_heating	17697	7.9%
oil_heating	5042	2.3%
heat_pump	2737	1.2%
combined_heat_and_power_plant	1978	0.9%
night_storage_heater	1341	0.6%
wood_pellet_heating	961	0.4%
Other values (3)	1411	0.6%

Most occurring characters

Value	Count	Frequency (%)
t	447627	12.6%
e	420938	11.8%
a	416563	11.7%
n	411451	11.6%
i	295903	8.3%
_	270404	7.6%
g	240575	6.8%
h	225335	6.3%
r	196296	5.5%
c	195739	5.5%
Other values (11)	436510	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3557341	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	447627	12.6%
e	420938	11.8%
a	416563	11.7%
n	411451	11.6%
i	295903	8.3%
_	270404	7.6%
g	240575	6.8%
h	225335	6.3%
r	196296	5.5%
c	195739	5.5%
Other values (11)	436510	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3557341	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	447627	12.6%
e	420938	11.8%
a	416563	11.7%
n	411451	11.6%
i	295903	8.3%
_	270404	7.6%
g	240575	6.8%
h	225335	6.3%
r	196296	5.5%
c	195739	5.5%
Other values (11)	436510	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3557341	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	447627	12.6%
e	420938	11.8%
a	416563	11.7%
n	411451	11.6%
i	295903	8.3%
_	270404	7.6%
g	240575	6.8%
h	225335	6.3%
r	196296	5.5%
c	195739	5.5%
Other values (11)	436510	12.3%

telekomTvOffer
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	32619
Missing (%)	12.1%
Memory size	2.1 MiB

ONE_YEAR_FREE	227632
NONE	4957
ON_DEMAND	3642

Length

Max length	13
Median length	13
Mean length	12.749478
Min length	4

Characters and Unicode

Total characters	3011822
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ONE_YEAR_FREE
2nd row	ONE_YEAR_FREE
3rd row	ONE_YEAR_FREE
4th row	ONE_YEAR_FREE
5th row	NONE

Common Values

Value	Count	Frequency (%)
ONE_YEAR_FREE	227632	84.7%
NONE	4957	1.8%
ON_DEMAND	3642	1.4%
(Missing)	32619	12.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
one_year_free	227632	96.4%
none	4957	2.1%
on_demand	3642	1.5%

Most occurring characters

Value	Count	Frequency (%)
E	919127	30.5%
_	458906	15.2%
R	455264	15.1%
N	244830	8.1%
O	236231	7.8%
A	231274	7.7%
Y	227632	7.6%
F	227632	7.6%
D	7284	0.2%
M	3642	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3011822	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	919127	30.5%
_	458906	15.2%
R	455264	15.1%
N	244830	8.1%
O	236231	7.8%
A	231274	7.7%
Y	227632	7.6%
F	227632	7.6%
D	7284	0.2%
M	3642	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3011822	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	919127	30.5%
_	458906	15.2%
R	455264	15.1%
N	244830	8.1%
O	236231	7.8%
A	231274	7.7%
Y	227632	7.6%
F	227632	7.6%
D	7284	0.2%
M	3642	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3011822	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	919127	30.5%
_	458906	15.2%
R	455264	15.1%
N	244830	8.1%
O	236231	7.8%
A	231274	7.7%
Y	227632	7.6%
F	227632	7.6%
D	7284	0.2%
M	3642	0.1%

telekomHybridUploadSpeed
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	< 0.1%
Missing	223830
Missing (%)	83.3%
Memory size	2.1 MiB

10.0	45020

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	180080
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10.0
2nd row	10.0
3rd row	10.0
4th row	10.0
5th row	10.0

Common Values

Value	Count	Frequency (%)
10.0	45020	16.7%
(Missing)	223830	83.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
10.0	45020	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	90040	50.0%
1	45020	25.0%
.	45020	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	180080	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	90040	50.0%
1	45020	25.0%
.	45020	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	180080	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	90040	50.0%
1	45020	25.0%
.	45020	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	180080	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	90040	50.0%
1	45020	25.0%
.	45020	25.0%

newlyConst
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

False	247679
True	21171

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	247679	92.1%
True	21171	7.9%

balcony
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

True	165734
False	103116

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	165734	61.6%
False	103116	38.4%

picturecount
Real number (ℝ)

ZEROS

Distinct	95
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.7919583

Minimum	0
Maximum	121
Zeros	4971
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	9
Q3	13
95-th percentile	21
Maximum	121
Range	121
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.4083992
Coefficient of variation (CV)	0.65445531
Kurtosis	9.2613945
Mean	9.7919583
Median Absolute Deviation (MAD)	3
Skewness	1.8086855
Sum	2632568
Variance	41.06758
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	21930	8.2%
7	21429	8.0%
9	21421	8.0%
10	19819	7.4%
6	18848	7.0%
11	16741	6.2%
5	15605	5.8%
12	14430	5.4%
4	12315	4.6%
13	11909	4.4%
Other values (85)	94403	35.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4971	1.8%
1	8965	3.3%
2	11210	4.2%
3	11536	4.3%
4	12315	4.6%
5	15605	5.8%
6	18848	7.0%
7	21429	8.0%
8	21930	8.2%
9	21421	8.0%

Value	Count	Frequency (%)
121	2	< 0.1%
112	1	< 0.1%
109	1	< 0.1%
107	1	< 0.1%
101	1	< 0.1%
100	1	< 0.1%
99	5	< 0.1%
94	1	< 0.1%
89	2	< 0.1%
88	5	< 0.1%

pricetrend
Real number (ℝ)

ZEROS

Distinct	1234
Distinct (%)	0.5%
Missing	1832
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.3890007

Minimum	-12.33
Maximum	14.92
Zeros	11082
Zeros (%)	4.1%
Negative	3754
Negative (%)	1.4%
Memory size	2.1 MiB

Quantile statistics

Minimum	-12.33
5-th percentile	0
Q1	2
median	3.39
Q3	4.57
95-th percentile	6.67
Maximum	14.92
Range	27.25
Interquartile range (IQR)	2.57

Descriptive statistics

Standard deviation	1.9648743
Coefficient of variation (CV)	0.57977984
Kurtosis	0.78832402
Mean	3.3890007
Median Absolute Deviation (MAD)	1.29
Skewness	0.38355596
Sum	904924.18
Variance	3.8607309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11082	4.1%
3.33	2211	0.8%
3.23	2042	0.8%
3.85	1884	0.7%
3.57	1720	0.6%
0.19	1693	0.6%
1.92	1656	0.6%
3.17	1648	0.6%
1.69	1640	0.6%
3.13	1617	0.6%
Other values (1224)	239825	89.2%
(Missing)	1832	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-12.33	1	< 0.1%
-9.17	1	< 0.1%
-8.29	2	< 0.1%
-8.26	5	< 0.1%
-7.87	1	< 0.1%
-7.08	1	< 0.1%
-6.6	1	< 0.1%
-6.51	1	< 0.1%
-6.46	2	< 0.1%
-6.13	1	< 0.1%

Value	Count	Frequency (%)
14.92	1	< 0.1%
12.87	1	< 0.1%
12.26	20	< 0.1%
12.22	8	< 0.1%
12.08	42	< 0.1%
12.02	33	< 0.1%
11.54	56	< 0.1%
11.34	2	< 0.1%
11.27	1	< 0.1%
11.22	61	< 0.1%

telekomUploadSpeed
Real number (ℝ)

MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	33358
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	28.804928

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	2.4
Q1	10
median	40
Q3	40
95-th percentile	40
Maximum	100
Range	99
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	16.337151
Coefficient of variation (CV)	0.56716514
Kurtosis	-1.1200502
Mean	28.804928
Median Absolute Deviation (MAD)	0
Skewness	-0.7344649
Sum	6783330.2
Variance	266.90251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
40	158296	58.9%
2.4	42858	15.9%
10	32889	12.2%
5	1036	0.4%
1	209	0.1%
100	141	0.1%
4	63	< 0.1%
(Missing)	33358	12.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	209	0.1%
2.4	42858	15.9%
4	63	< 0.1%
5	1036	0.4%
10	32889	12.2%
40	158296	58.9%
100	141	0.1%

Value	Count	Frequency (%)
100	141	0.1%
40	158296	58.9%
10	32889	12.2%
5	1036	0.4%
4	63	< 0.1%
2.4	42858	15.9%
1	209	0.1%

totalRent
Real number (ℝ)

MISSING SKEWED

Distinct	28486
Distinct (%)	12.5%
Missing	40517
Missing (%)	15.1%
Infinite	0
Infinite (%)	0.0%
Mean	901.33152

Minimum	0
Maximum	15751535
Zeros	236
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	325
Q1	469.8
median	650
Q3	985
95-th percentile	1795.12
Maximum	15751535
Range	15751535
Interquartile range (IQR)	515.2

Descriptive statistics

Standard deviation	33238.334
Coefficient of variation (CV)	36.876924
Kurtosis	220856.4
Mean	901.33152
Median Absolute Deviation (MAD)	220
Skewness	466.56754
Sum	2.0580373 × 10⁸
Variance	1.1047868 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
500	1897	0.7%
450	1892	0.7%
600	1805	0.7%
550	1668	0.6%
400	1500	0.6%
750	1495	0.6%
650	1486	0.6%
800	1427	0.5%
700	1417	0.5%
900	1399	0.5%
Other values (28476)	212347	79.0%
(Missing)	40517	15.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	236	0.1%
1	8	< 0.1%
1.01	1	< 0.1%
1.04	1	< 0.1%
1.08	2	< 0.1%
1.3	2	< 0.1%
2	4	< 0.1%
3	2	< 0.1%
4	5	< 0.1%
5.9	1	< 0.1%

Value	Count	Frequency (%)
15751535	1	< 0.1%
1234567	1	< 0.1%
1150900	1	< 0.1%
1000000	1	< 0.1%
485350	1	< 0.1%
108000	1	< 0.1%
64651	1	< 0.1%
63204	1	< 0.1%
51570	1	< 0.1%
37600	1	< 0.1%

yearConstructed
Real number (ℝ)

MISSING

Distinct	465
Distinct (%)	0.2%
Missing	57045
Missing (%)	21.2%
Infinite	0
Infinite (%)	0.0%
Mean	1966.4006

Minimum	1000
Maximum	2090
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1000
5-th percentile	1900
Q1	1950
median	1973
Q3	1996
95-th percentile	2019
Maximum	2090
Range	1090
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	46.992207
Coefficient of variation (CV)	0.023897576
Kurtosis	64.743586
Mean	1966.4006
Median Absolute Deviation (MAD)	23
Skewness	-4.5647801
Sum	4.1649348 × 10⁸
Variance	2208.2675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2019	10959	4.1%
1900	10356	3.9%
2018	8759	3.3%
1995	4387	1.6%
1996	4339	1.6%
1910	4290	1.6%
2017	3903	1.5%
1972	3844	1.4%
1960	3838	1.4%
1970	3556	1.3%
Other values (455)	153574	57.1%
(Missing)	57045	21.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	< 0.1%
1005	1	< 0.1%
1007	1	< 0.1%
1027	1	< 0.1%
1036	1	< 0.1%
1063	1	< 0.1%
1070	1	< 0.1%
1078	1	< 0.1%
1097	1	< 0.1%
1111	87	< 0.1%

Value	Count	Frequency (%)
2090	1	< 0.1%
2029	1	< 0.1%
2026	3	< 0.1%
2022	2	< 0.1%
2021	15	< 0.1%
2020	2140	0.8%
2019	10959	4.1%
2018	8759	3.3%
2017	3903	1.5%
2016	2902	1.1%

scoutId
Real number (ℝ)

UNIQUE

Distinct	268850
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0696967 × 10⁸

Minimum	28871743
Maximum	1.1571174 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	28871743
5-th percentile	78243993
Q1	1.0669103 × 10⁸
median	1.1115838 × 10⁸
Q3	1.1376876 × 10⁸
95-th percentile	1.1560063 × 10⁸
Maximum	1.1571174 × 10⁸
Range	86840000
Interquartile range (IQR)	7077725.5

Descriptive statistics

Standard deviation	12500933
Coefficient of variation (CV)	0.11686428
Kurtosis	8.3919963
Mean	1.0696967 × 10⁸
Median Absolute Deviation (MAD)	3600390
Skewness	-2.7733701
Sum	2.8758796 × 10¹³
Variance	1.5627334 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96107057	1	< 0.1%
114446661	1	< 0.1%
115556774	1	< 0.1%
106807219	1	< 0.1%
112849859	1	< 0.1%
85750719	1	< 0.1%
105304397	1	< 0.1%
115542340	1	< 0.1%
113862383	1	< 0.1%
114473643	1	< 0.1%
Other values (268840)	268840	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28871743	1	< 0.1%
29301391	1	< 0.1%
29301750	1	< 0.1%
29370795	1	< 0.1%
29404468	1	< 0.1%
29448107	1	< 0.1%
29506747	1	< 0.1%
29707618	1	< 0.1%
29718404	1	< 0.1%
29718866	1	< 0.1%

Value	Count	Frequency (%)
115711743	1	< 0.1%
115711737	1	< 0.1%
115711660	1	< 0.1%
115711556	1	< 0.1%
115711546	1	< 0.1%
115711544	1	< 0.1%
115711543	1	< 0.1%
115711540	1	< 0.1%
115711539	1	< 0.1%
115711538	1	< 0.1%

noParkSpaces
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	71
Distinct (%)	0.1%
Missing	175798
Missing (%)	65.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.327634

Minimum	0
Maximum	2241
Zeros	3855
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	2241
Range	2241
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.3614032
Coefficient of variation (CV)	6.297973
Kurtosis	55434.369
Mean	1.327634
Median Absolute Deviation (MAD)	0
Skewness	210.59684
Sum	123539
Variance	69.913063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	78814	29.3%
2	8955	3.3%
0	3855	1.4%
3	417	0.2%
4	137	0.1%
20	87	< 0.1%
5	74	< 0.1%
10	73	< 0.1%
6	54	< 0.1%
8	50	< 0.1%
Other values (61)	536	0.2%
(Missing)	175798	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3855	1.4%
1	78814	29.3%
2	8955	3.3%
3	417	0.2%
4	137	0.1%
5	74	< 0.1%
6	54	< 0.1%
7	31	< 0.1%
8	50	< 0.1%
9	32	< 0.1%

Value	Count	Frequency (%)
2241	1	< 0.1%
320	3	< 0.1%
310	1	< 0.1%
150	14	< 0.1%
130	2	< 0.1%
126	2	< 0.1%
99	3	< 0.1%
95	7	< 0.1%
93	1	< 0.1%
90	4	< 0.1%

firingTypes
Text

MISSING

Distinct	132
Distinct (%)	0.1%
Missing	56964
Missing (%)	21.2%
Memory size	2.1 MiB

Length

Max length	187
Median length	3
Mean length	8.131113
Min length	3

Characters and Unicode

Total characters	1722869
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	< 0.1%

Sample

1st row	oil
2nd row	gas
3rd row	district_heating
4th row	gas
5th row	gas

Value	Count	Frequency (%)
gas	110899	52.3%
district_heating	49389	23.3%
oil	18137	8.6%
natural_gas_light	10080	4.8%
electricity	4838	2.3%
natural_gas_heavy	4542	2.1%
pellet_heating	2478	1.2%
geothermal	2442	1.2%
gas:electricity	1354	0.6%
local_heating	932	0.4%
Other values (122)	6795	3.2%

Most occurring characters

Value	Count	Frequency (%)
a	228894	13.3%
t	206300	12.0%
i	204968	11.9%
g	198497	11.5%
s	184703	10.7%
e	96892	5.6%
_	95360	5.5%
r	81295	4.7%
n	77540	4.5%
h	75928	4.4%
Other values (15)	272492	15.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1722869	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	228894	13.3%
t	206300	12.0%
i	204968	11.9%
g	198497	11.5%
s	184703	10.7%
e	96892	5.6%
_	95360	5.5%
r	81295	4.7%
n	77540	4.5%
h	75928	4.4%
Other values (15)	272492	15.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1722869	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	228894	13.3%
t	206300	12.0%
i	204968	11.9%
g	198497	11.5%
s	184703	10.7%
e	96892	5.6%
_	95360	5.5%
r	81295	4.7%
n	77540	4.5%
h	75928	4.4%
Other values (15)	272492	15.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1722869	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	228894	13.3%
t	206300	12.0%
i	204968	11.9%
g	198497	11.5%
s	184703	10.7%
e	96892	5.6%
_	95360	5.5%
r	81295	4.7%
n	77540	4.5%
h	75928	4.4%
Other values (15)	272492	15.8%

hasKitchen
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

False	176794
True	92056

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	176794	65.8%
True	92056	34.2%

geo_bln
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Nordrhein_Westfalen	62863
Sachsen	58154
Bayern	21609
Sachsen_Anhalt	20124
Hessen	17845
Other values (11)	88255

Length

Max length	22
Median length	18
Mean length	12.165297
Min length	6

Characters and Unicode

Total characters	3270640
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nordrhein_Westfalen
2nd row	Rheinland_Pfalz
3rd row	Sachsen
4th row	Sachsen
5th row	Bremen

Common Values

Value	Count	Frequency (%)
Nordrhein_Westfalen	62863	23.4%
Sachsen	58154	21.6%
Bayern	21609	8.0%
Sachsen_Anhalt	20124	7.5%
Hessen	17845	6.6%
Niedersachsen	16593	6.2%
Baden_Württemberg	16091	6.0%
Berlin	10406	3.9%
Thüringen	8388	3.1%
Rheinland_Pfalz	8368	3.1%
Other values (6)	28409	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nordrhein_westfalen	62863	23.4%
sachsen	58154	21.6%
bayern	21609	8.0%
sachsen_anhalt	20124	7.5%
hessen	17845	6.6%
niedersachsen	16593	6.2%
baden_württemberg	16091	6.0%
berlin	10406	3.9%
thüringen	8388	3.1%
rheinland_pfalz	8368	3.1%
Other values (6)	28409	10.6%

Most occurring characters

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3270640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	495502	15.2%
n	378422	11.6%
r	256867	7.9%
a	247294	7.6%
s	223353	6.8%
h	201282	6.2%
l	131528	4.0%
t	121837	3.7%
_	120748	3.7%
i	119954	3.7%
Other values (25)	973853	29.8%

cellar
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

True	172235
False	96615

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	172235	64.1%
False	96615	35.9%

yearConstructedRange
Real number (ℝ)

MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	57045
Missing (%)	21.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.714544

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	5
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7381335
Coefficient of variation (CV)	0.73713853
Kurtosis	-0.57569938
Mean	3.714544
Median Absolute Deviation (MAD)	2
Skewness	0.85823642
Sum	786759
Variance	7.4973752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	54203	20.2%
2	45661	17.0%
9	28685	10.7%
5	26291	9.8%
3	24262	9.0%
4	18011	6.7%
8	7578	2.8%
6	3638	1.4%
7	3476	1.3%
(Missing)	57045	21.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	54203	20.2%
2	45661	17.0%
3	24262	9.0%
4	18011	6.7%
5	26291	9.8%
6	3638	1.4%
7	3476	1.3%
8	7578	2.8%
9	28685	10.7%

Value	Count	Frequency (%)
9	28685	10.7%
8	7578	2.8%
7	3476	1.3%
6	3638	1.4%
5	26291	9.8%
4	18011	6.7%
3	24262	9.0%
2	45661	17.0%
1	54203	20.2%

baseRent
Real number (ℝ)

SKEWED

Distinct	26659
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	694.12943

Minimum	0
Maximum	9999999
Zeros	89
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	230
Q1	338
median	490
Q3	799
95-th percentile	1500
Maximum	9999999
Range	9999999
Interquartile range (IQR)	461

Descriptive statistics

Standard deviation	19536.018
Coefficient of variation (CV)	28.144632
Kurtosis	255373.17
Mean	694.12943
Median Absolute Deviation (MAD)	190
Skewness	500.20195
Sum	1.866167 × 10⁸
Variance	3.8165598 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350	3810	1.4%
450	3558	1.3%
300	3152	1.2%
400	2985	1.1%
650	2905	1.1%
550	2749	1.0%
750	2718	1.0%
500	2535	0.9%
600	2511	0.9%
320	2480	0.9%
Other values (26649)	239447	89.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	89	< 0.1%
1	8	< 0.1%
3	3	< 0.1%
3.01	1	< 0.1%
3.9	2	< 0.1%
4.81	1	< 0.1%
4.96	1	< 0.1%
5.25	1	< 0.1%
5.9	1	< 0.1%
6	2	< 0.1%

Value	Count	Frequency (%)
9999999	1	< 0.1%
1234567	1	< 0.1%
1000000	1	< 0.1%
120000	2	< 0.1%
39200	1	< 0.1%
30990	1	< 0.1%
20100	1	< 0.1%
20000	1	< 0.1%
19329	1	< 0.1%
17781.12	1	< 0.1%

houseNumber
Text

MISSING

Distinct	5510
Distinct (%)	2.8%
Missing	71018
Missing (%)	26.4%
Memory size	2.1 MiB

Length

Max length	34
Median length	2
Mean length	1.9932771
Min length	1

Characters and Unicode

Total characters	394334
Distinct characters	84
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2887 ?
Unique (%)	1.5%

Sample

1st row	244
2nd row	4
3rd row	35
4th row	10
5th row	1e

Value	Count	Frequency (%)
1	7453	3.7%
2	7049	3.5%
4	6037	3.0%
3	5892	2.9%
5	5660	2.8%
6	5326	2.6%
8	5054	2.5%
7	4995	2.5%
10	4638	2.3%
9	4438	2.2%
Other values (3446)	147058	72.2%

Most occurring characters

Value	Count	Frequency (%)
1	80129	20.3%
2	55179	14.0%
3	41023	10.4%
4	35162	8.9%
5	30470	7.7%
6	26831	6.8%
7	23967	6.1%
0	23618	6.0%
8	22523	5.7%
9	19886	5.0%
Other values (74)	35546	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	394334	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	80129	20.3%
2	55179	14.0%
3	41023	10.4%
4	35162	8.9%
5	30470	7.7%
6	26831	6.8%
7	23967	6.1%
0	23618	6.0%
8	22523	5.7%
9	19886	5.0%
Other values (74)	35546	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	394334	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	80129	20.3%
2	55179	14.0%
3	41023	10.4%
4	35162	8.9%
5	30470	7.7%
6	26831	6.8%
7	23967	6.1%
0	23618	6.0%
8	22523	5.7%
9	19886	5.0%
Other values (74)	35546	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	394334	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	80129	20.3%
2	55179	14.0%
3	41023	10.4%
4	35162	8.9%
5	30470	7.7%
6	26831	6.8%
7	23967	6.1%
0	23618	6.0%
8	22523	5.7%
9	19886	5.0%
Other values (74)	35546	9.0%

livingSpace
Real number (ℝ)

SKEWED

Distinct	13005
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.355548

Minimum	0
Maximum	111111
Zeros	75
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	32.61
Q1	54
median	67.32
Q3	87
95-th percentile	131.732
Maximum	111111
Range	111111
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	254.75921
Coefficient of variation (CV)	3.42623
Kurtosis	151058.26
Mean	74.355548
Median Absolute Deviation (MAD)	15.75
Skewness	373.83926
Sum	19990489
Variance	64902.254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	5189	1.9%
70	4154	1.5%
80	4031	1.5%
65	3808	1.4%
75	3692	1.4%
50	3423	1.3%
90	3104	1.2%
100	3006	1.1%
55	2979	1.1%
85	2639	1.0%
Other values (12995)	232825	86.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	75	< 0.1%
1	18	< 0.1%
2	4	< 0.1%
3	3	< 0.1%
5	1	< 0.1%
5.5	1	< 0.1%
5.58	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
7.7	1	< 0.1%

Value	Count	Frequency (%)
111111	1	< 0.1%
66100	1	< 0.1%
14000	1	< 0.1%
10259	1	< 0.1%
8684	1	< 0.1%
7008	1	< 0.1%
4947	1	< 0.1%
4340	1	< 0.1%
2782	1	< 0.1%
2420	1	< 0.1%

geo_krs
Text

Distinct	419
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	39
Median length	29
Mean length	11.808168
Min length	3

Characters and Unicode

Total characters	3174626
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dortmund
2nd row	Rhein_Pfalz_Kreis
3rd row	Dresden
4th row	Mittelsachsen_Kreis
5th row	Bremen

Value	Count	Frequency (%)
leipzig	13723	5.1%
chemnitz	12575	4.7%
berlin	10406	3.9%
dresden	7522	2.8%
magdeburg	4860	1.8%
halle_saale	4565	1.7%
münchen	4383	1.6%
essen	4351	1.6%
frankfurt_am_main	4296	1.6%
hamburg	3759	1.4%
Other values (409)	198410	73.8%

Most occurring characters

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

condition
Categorical

MISSING

Distinct	10
Distinct (%)	< 0.1%
Missing	68489
Missing (%)	25.5%
Memory size	2.1 MiB

well_kept	66591
refurbished	26964
fully_renovated	26368
first_time_use	21959
mint_condition	21938
Other values (5)	36541

Length

Max length	34
Median length	19
Mean length	13.272039
Min length	9

Characters and Unicode

Total characters	2659199
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	well_kept
2nd row	refurbished
3rd row	first_time_use
4th row	refurbished
5th row	well_kept

Common Values

Value	Count	Frequency (%)
well_kept	66591	24.8%
refurbished	26964	10.0%
fully_renovated	26368	9.8%
first_time_use	21959	8.2%
mint_condition	21938	8.2%
modernized	17226	6.4%
first_time_use_after_refurbishment	15699	5.8%
negotiable	2240	0.8%
need_of_renovation	1372	0.5%
ripe_for_demolition	4	< 0.1%
(Missing)	68489	25.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
well_kept	66591	33.2%
refurbished	26964	13.5%
fully_renovated	26368	13.2%
first_time_use	21959	11.0%
mint_condition	21938	10.9%
modernized	17226	8.6%
first_time_use_after_refurbishment	15699	7.8%
negotiable	2240	1.1%
need_of_renovation	1372	0.7%
ripe_for_demolition	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	405315	15.2%
t	247165	9.3%
_	224363	8.4%
i	204643	7.7%
l	188162	7.1%
r	183657	6.9%
n	131467	4.9%
f	123764	4.7%
s	117979	4.4%
d	111098	4.2%
Other values (14)	721586	27.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2659199	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	405315	15.2%
t	247165	9.3%
_	224363	8.4%
i	204643	7.7%
l	188162	7.1%
r	183657	6.9%
n	131467	4.9%
f	123764	4.7%
s	117979	4.4%
d	111098	4.2%
Other values (14)	721586	27.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2659199	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	405315	15.2%
t	247165	9.3%
_	224363	8.4%
i	204643	7.7%
l	188162	7.1%
r	183657	6.9%
n	131467	4.9%
f	123764	4.7%
s	117979	4.4%
d	111098	4.2%
Other values (14)	721586	27.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2659199	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	405315	15.2%
t	247165	9.3%
_	224363	8.4%
i	204643	7.7%
l	188162	7.1%
r	183657	6.9%
n	131467	4.9%
f	123764	4.7%
s	117979	4.4%
d	111098	4.2%
Other values (14)	721586	27.1%

interiorQual
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	112665
Missing (%)	41.9%
Memory size	2.1 MiB

normal	81826
sophisticated	64762
luxury	7648
simple	1949

Length

Max length	13
Median length	6
Mean length	8.9025451
Min length	6

Characters and Unicode

Total characters	1390444
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	sophisticated
4th row	sophisticated
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	81826	30.4%
sophisticated	64762	24.1%
luxury	7648	2.8%
simple	1949	0.7%
(Missing)	112665	41.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
normal	81826	52.4%
sophisticated	64762	41.5%
luxury	7648	4.9%
simple	1949	1.2%

Most occurring characters

Value	Count	Frequency (%)
a	146588	10.5%
o	146588	10.5%
s	131473	9.5%
i	131473	9.5%
t	129524	9.3%
l	91423	6.6%
r	89474	6.4%
m	83775	6.0%
n	81826	5.9%
e	66711	4.8%
Other values (7)	291589	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1390444	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	146588	10.5%
o	146588	10.5%
s	131473	9.5%
i	131473	9.5%
t	129524	9.3%
l	91423	6.6%
r	89474	6.4%
m	83775	6.0%
n	81826	5.9%
e	66711	4.8%
Other values (7)	291589	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1390444	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	146588	10.5%
o	146588	10.5%
s	131473	9.5%
i	131473	9.5%
t	129524	9.3%
l	91423	6.6%
r	89474	6.4%
m	83775	6.0%
n	81826	5.9%
e	66711	4.8%
Other values (7)	291589	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1390444	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	146588	10.5%
o	146588	10.5%
s	131473	9.5%
i	131473	9.5%
t	129524	9.3%
l	91423	6.6%
r	89474	6.4%
m	83775	6.0%
n	81826	5.9%
e	66711	4.8%
Other values (7)	291589	21.0%

petsAllowed
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	114573
Missing (%)	42.6%
Memory size	2.1 MiB

negotiable	91970
no	51991
yes	10316

Length

Max length	10
Median length	10
Mean length	6.8359509
Min length	2

Characters and Unicode

Total characters	1054630
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	negotiable
5th row	negotiable

Common Values

Value	Count	Frequency (%)
negotiable	91970	34.2%
no	51991	19.3%
yes	10316	3.8%
(Missing)	114573	42.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
negotiable	91970	59.6%
no	51991	33.7%
yes	10316	6.7%

Most occurring characters

Value	Count	Frequency (%)
e	194256	18.4%
n	143961	13.7%
o	143961	13.7%
g	91970	8.7%
t	91970	8.7%
i	91970	8.7%
a	91970	8.7%
b	91970	8.7%
l	91970	8.7%
y	10316	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1054630	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	194256	18.4%
n	143961	13.7%
o	143961	13.7%
g	91970	8.7%
t	91970	8.7%
i	91970	8.7%
a	91970	8.7%
b	91970	8.7%
l	91970	8.7%
y	10316	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1054630	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	194256	18.4%
n	143961	13.7%
o	143961	13.7%
g	91970	8.7%
t	91970	8.7%
i	91970	8.7%
a	91970	8.7%
b	91970	8.7%
l	91970	8.7%
y	10316	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1054630	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	194256	18.4%
n	143961	13.7%
o	143961	13.7%
g	91970	8.7%
t	91970	8.7%
i	91970	8.7%
a	91970	8.7%
b	91970	8.7%
l	91970	8.7%
y	10316	1.0%

street
Text

Distinct	52373
Distinct (%)	19.5%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	89
Median length	61
Mean length	16.631378
Min length	1

Characters and Unicode

Total characters	4471346
Distinct characters	85
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29419 ?
Unique (%)	10.9%

Sample

1st row	Schüruferstraße
2nd row	no_information
3rd row	Turnerweg
4th row	Glück-Auf-Straße
5th row	Hermann-Henrich-Meier-Allee

Value	Count	Frequency (%)
no_information	71013	21.1%
straße	21786	6.5%
str	13707	4.1%
am	6439	1.9%
der	2636	0.8%
weg	2484	0.7%
an	1579	0.5%
im	1271	0.4%
hauptstraße	1093	0.3%
strasse	1030	0.3%
Other values (45483)	214152	63.5%

Most occurring characters

Value	Count	Frequency (%)
r	406206	9.1%
e	374065	8.4%
n	348661	7.8%
i	333808	7.5%
t	303070	6.8%
o	280989	6.3%
a	279635	6.3%
s	262963	5.9%
l	210075	4.7%
g	150973	3.4%
Other values (75)	1520901	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4471346	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	406206	9.1%
e	374065	8.4%
n	348661	7.8%
i	333808	7.5%
t	303070	6.8%
o	280989	6.3%
a	279635	6.3%
s	262963	5.9%
l	210075	4.7%
g	150973	3.4%
Other values (75)	1520901	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4471346	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	406206	9.1%
e	374065	8.4%
n	348661	7.8%
i	333808	7.5%
t	303070	6.8%
o	280989	6.3%
a	279635	6.3%
s	262963	5.9%
l	210075	4.7%
g	150973	3.4%
Other values (75)	1520901	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4471346	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	406206	9.1%
e	374065	8.4%
n	348661	7.8%
i	333808	7.5%
t	303070	6.8%
o	280989	6.3%
a	279635	6.3%
s	262963	5.9%
l	210075	4.7%
g	150973	3.4%
Other values (75)	1520901	34.0%

streetPlain
Text

MISSING

Distinct	54490
Distinct (%)	27.5%
Missing	71013
Missing (%)	26.4%
Memory size	2.1 MiB

Length

Max length	67
Median length	48
Mean length	14.165586
Min length	1

Characters and Unicode

Total characters	2802477
Distinct characters	96
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31068 ?
Unique (%)	15.7%

Sample

1st row	Schüruferstraße
2nd row	Turnerweg
3rd row	Glück-Auf-Straße
4th row	Hermann-Henrich-Meier-Allee
5th row	Hardeseiche

Value	Count	Frequency (%)
hauptstraße	941	0.5%
bahnhofstraße	855	0.4%
leipziger_straße	440	0.2%
bahnhofstr	422	0.2%
goethestraße	417	0.2%
berliner_straße	381	0.2%
schillerstraße	380	0.2%
hauptstr	362	0.2%
gartenstraße	360	0.2%
schulstraße	350	0.2%
Other values (51186)	192929	97.5%

Most occurring characters

Value	Count	Frequency (%)
e	373823	13.3%
r	335190	12.0%
t	231928	8.3%
a	203791	7.3%
s	170051	6.1%
n	135622	4.8%
i	98872	3.5%
ß	92910	3.3%
l	92702	3.3%
S	85131	3.0%
Other values (86)	982457	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2802477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	373823	13.3%
r	335190	12.0%
t	231928	8.3%
a	203791	7.3%
s	170051	6.1%
n	135622	4.8%
i	98872	3.5%
ß	92910	3.3%
l	92702	3.3%
S	85131	3.0%
Other values (86)	982457	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2802477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	373823	13.3%
r	335190	12.0%
t	231928	8.3%
a	203791	7.3%
s	170051	6.1%
n	135622	4.8%
i	98872	3.5%
ß	92910	3.3%
l	92702	3.3%
S	85131	3.0%
Other values (86)	982457	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2802477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	373823	13.3%
r	335190	12.0%
t	231928	8.3%
a	203791	7.3%
s	170051	6.1%
n	135622	4.8%
i	98872	3.5%
ß	92910	3.3%
l	92702	3.3%
S	85131	3.0%
Other values (86)	982457	35.1%

lift
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

False	205528
True	63322

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	205528	76.4%
True	63322	23.6%

baseRentRange
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.7652557

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.2143571
Coefficient of variation (CV)	0.5881027
Kurtosis	-0.8951495
Mean	3.7652557
Median Absolute Deviation (MAD)	2
Skewness	0.44722718
Sum	1012289
Variance	4.9033772
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	54546	20.3%
1	48225	17.9%
5	38000	14.1%
3	37138	13.8%
7	27495	10.2%
4	25808	9.6%
6	24210	9.0%
8	8251	3.1%
9	5177	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	48225	17.9%
2	54546	20.3%
3	37138	13.8%
4	25808	9.6%
5	38000	14.1%
6	24210	9.0%
7	27495	10.2%
8	8251	3.1%
9	5177	1.9%

Value	Count	Frequency (%)
9	5177	1.9%
8	8251	3.1%
7	27495	10.2%
6	24210	9.0%
5	38000	14.1%
4	25808	9.6%
3	37138	13.8%
2	54546	20.3%
1	48225	17.9%

typeOfFlat
Categorical

MISSING

Distinct	10
Distinct (%)	< 0.1%
Missing	36614
Missing (%)	13.6%
Memory size	2.1 MiB

apartment	131522
roof_storey	34787
ground_floor	31538
other	9519
maisonette	9319
Other values (5)	15551

Length

Max length	19
Median length	9
Mean length	9.8978711
Min length	4

Characters and Unicode

Total characters	2298642
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ground_floor
2nd row	ground_floor
3rd row	apartment
4th row	other
5th row	apartment

Common Values

Value	Count	Frequency (%)
apartment	131522	48.9%
roof_storey	34787	12.9%
ground_floor	31538	11.7%
other	9519	3.5%
maisonette	9319	3.5%
raised_ground_floor	5628	2.1%
penthouse	3568	1.3%
terraced_flat	3385	1.3%
half_basement	2013	0.7%
loft	957	0.4%
(Missing)	36614	13.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	131522	56.6%
roof_storey	34787	15.0%
ground_floor	31538	13.6%
other	9519	4.1%
maisonette	9319	4.0%
raised_ground_floor	5628	2.4%
penthouse	3568	1.5%
terraced_flat	3385	1.5%
half_basement	2013	0.9%
loft	957	0.4%

Most occurring characters

Value	Count	Frequency (%)
t	339296	14.8%
r	297345	12.9%
a	288787	12.6%
o	239222	10.4%
e	218026	9.5%
n	183588	8.0%
m	142854	6.2%
p	135090	5.9%
_	82979	3.6%
f	78308	3.4%
Other values (10)	293147	12.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2298642	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	339296	14.8%
r	297345	12.9%
a	288787	12.6%
o	239222	10.4%
e	218026	9.5%
n	183588	8.0%
m	142854	6.2%
p	135090	5.9%
_	82979	3.6%
f	78308	3.4%
Other values (10)	293147	12.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2298642	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	339296	14.8%
r	297345	12.9%
a	288787	12.6%
o	239222	10.4%
e	218026	9.5%
n	183588	8.0%
m	142854	6.2%
p	135090	5.9%
_	82979	3.6%
f	78308	3.4%
Other values (10)	293147	12.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2298642	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	339296	14.8%
r	297345	12.9%
a	288787	12.6%
o	239222	10.4%
e	218026	9.5%
n	183588	8.0%
m	142854	6.2%
p	135090	5.9%
_	82979	3.6%
f	78308	3.4%
Other values (10)	293147	12.8%

geo_plz
Real number (ℝ)

Distinct	7634
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37283.022

Minimum	852
Maximum	99998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	852
5-th percentile	2703.05
Q1	9128
median	38667
Q3	57072
95-th percentile	89077
Maximum	99998
Range	99146
Interquartile range (IQR)	47944

Descriptive statistics

Standard deviation	27798.037
Coefficient of variation (CV)	0.74559506
Kurtosis	-0.86720703
Mean	37283.022
Median Absolute Deviation (MAD)	25612
Skewness	0.43060489
Sum	1.0023541 × 10¹⁰
Variance	7.7273088 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9130	2008	0.7%
9126	1994	0.7%
9131	1649	0.6%
9112	1626	0.6%
9113	1416	0.5%
8056	1059	0.4%
4157	975	0.4%
39112	923	0.3%
6217	887	0.3%
9599	862	0.3%
Other values (7624)	255451	95.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
852	2	< 0.1%
853	1	< 0.1%
1057	3	< 0.1%
1067	795	0.3%
1069	224	0.1%
1097	404	0.2%
1099	464	0.2%
1108	48	< 0.1%
1109	113	< 0.1%
1127	201	0.1%

Value	Count	Frequency (%)
99998	2	< 0.1%
99994	10	< 0.1%
99991	9	< 0.1%
99986	2	< 0.1%
99976	9	< 0.1%
99974	310	0.1%
99958	1	< 0.1%
99955	3	< 0.1%
99947	108	< 0.1%
99898	1	< 0.1%

noRooms
Real number (ℝ)

SKEWED

Distinct	64
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6412611

Minimum	1
Maximum	999.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	999.99
Range	998.99
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.6334396
Coefficient of variation (CV)	0.99703872
Kurtosis	85074.669
Mean	2.6412611
Median Absolute Deviation (MAD)	1
Skewness	249.53628
Sum	710103.05
Variance	6.9350041
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	92089	34.3%
2	89038	33.1%
1	27805	10.3%
4	27776	10.3%
2.5	9583	3.6%
3.5	8897	3.3%
5	5726	2.1%
1.5	3405	1.3%
4.5	2074	0.8%
6	1308	0.5%
Other values (54)	1149	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	27805	10.3%
1.1	5	< 0.1%
1.2	1	< 0.1%
1.25	1	< 0.1%
1.3	1	< 0.1%
1.5	3405	1.3%
2	89038	33.1%
2.01	4	< 0.1%
2.1	67	< 0.1%
2.2	32	< 0.1%

Value	Count	Frequency (%)
999.99	1	< 0.1%
560	1	< 0.1%
305	1	< 0.1%
230	1	< 0.1%
200	1	< 0.1%
160	1	< 0.1%
140	1	< 0.1%
120	1	< 0.1%
100	1	< 0.1%
99.5	1	< 0.1%

thermalChar
Real number (ℝ)

MISSING

Distinct	7847
Distinct (%)	4.8%
Missing	106506
Missing (%)	39.6%
Infinite	0
Infinite (%)	0.0%
Mean	114.74953

Minimum	0.1
Maximum	1996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0.1
5-th percentile	42
Q1	79
median	107
Q3	140.3
95-th percentile	208.8
Maximum	1996
Range	1995.9
Interquartile range (IQR)	61.3

Descriptive statistics

Standard deviation	61.653663
Coefficient of variation (CV)	0.53728901
Kurtosis	142.81989
Mean	114.74953
Median Absolute Deviation (MAD)	30
Skewness	6.7931659
Sum	18628898
Variance	3801.1741
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
105	932	0.3%
100	913	0.3%
114	876	0.3%
80	871	0.3%
87	863	0.3%
79	859	0.3%
90	850	0.3%
85	846	0.3%
96	841	0.3%
98	840	0.3%
Other values (7837)	153653	57.2%
(Missing)	106506	39.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	1	< 0.1%
0.2	8	< 0.1%
0.25	2	< 0.1%
0.27	1	< 0.1%
0.28	1	< 0.1%
0.3	11	< 0.1%
0.39	1	< 0.1%
0.46	1	< 0.1%
0.49	1	< 0.1%
0.64	1	< 0.1%

Value	Count	Frequency (%)
1996	1	< 0.1%
1983	1	< 0.1%
1974	1	< 0.1%
1971	1	< 0.1%
1932	1	< 0.1%
1900	2	< 0.1%
1897	2	< 0.1%
1890	1	< 0.1%
1752	1	< 0.1%
1745	1	< 0.1%

floor
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	53
Distinct (%)	< 0.1%
Missing	51309
Missing (%)	19.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.1224045

Minimum	-1
Maximum	999
Zeros	24604
Zeros (%)	9.2%
Negative	314
Negative (%)	0.1%
Memory size	2.1 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	999
Range	1000
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.634934
Coefficient of variation (CV)	1.712649
Kurtosis	35848.49
Mean	2.1224045
Median Absolute Deviation (MAD)	1
Skewness	155.43806
Sum	461710
Variance	13.212745
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	64133	23.9%
2	56937	21.2%
3	37879	14.1%
0	24604	9.2%
4	19953	7.4%
5	7987	3.0%
6	2493	0.9%
7	1031	0.4%
8	578	0.2%
9	427	0.2%
Other values (43)	1519	0.6%
(Missing)	51309	19.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	314	0.1%
0	24604	9.2%
1	64133	23.9%
2	56937	21.2%
3	37879	14.1%
4	19953	7.4%
5	7987	3.0%
6	2493	0.9%
7	1031	0.4%
8	578	0.2%

Value	Count	Frequency (%)
999	1	< 0.1%
650	1	< 0.1%
645	1	< 0.1%
390	1	< 0.1%
139	1	< 0.1%
138	1	< 0.1%
137	2	< 0.1%
136	3	< 0.1%
135	1	< 0.1%
134	1	< 0.1%

numberOfFloors
Real number (ℝ)

MISSING SKEWED

Distinct	57
Distinct (%)	< 0.1%
Missing	97732
Missing (%)	36.4%
Infinite	0
Infinite (%)	0.0%
Mean	3.5723185

Minimum	0
Maximum	999
Zeros	1371
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	999
Range	999
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	6.3754962
Coefficient of variation (CV)	1.7846942
Kurtosis	15489.764
Mean	3.5723185
Median Absolute Deviation (MAD)	1
Skewness	114.09243
Sum	611288
Variance	40.646952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	50822	18.9%
4	39862	14.8%
2	37350	13.9%
5	19833	7.4%
1	8463	3.1%
6	6282	2.3%
7	2555	1.0%
0	1371	0.5%
8	1133	0.4%
11	1004	0.4%
Other values (47)	2443	0.9%
(Missing)	97732	36.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1371	0.5%
1	8463	3.1%
2	37350	13.9%
3	50822	18.9%
4	39862	14.8%
5	19833	7.4%
6	6282	2.3%
7	2555	1.0%
8	1133	0.4%
9	514	0.2%

Value	Count	Frequency (%)
999	3	< 0.1%
800	2	< 0.1%
730	1	< 0.1%
600	1	< 0.1%
594	1	< 0.1%
410	1	< 0.1%
400	1	< 0.1%
378	1	< 0.1%
370	1	< 0.1%
301	1	< 0.1%

noRoomsRange
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

3	100992
2	98728
1	31218
4	29851
5	8061

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	268850
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

Most occurring characters

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	268850	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	268850	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	268850	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	100992	37.6%
2	98728	36.7%
1	31218	11.6%
4	29851	11.1%
5	8061	3.0%

garden
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	262.7 KiB

False	216093
True	52757

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	216093	80.4%
True	52757	19.6%

livingSpaceRange
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0707904

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.407127
Coefficient of variation (CV)	0.45822957
Kurtosis	0.2979037
Mean	3.0707904
Median Absolute Deviation (MAD)	1
Skewness	0.77686978
Sum	825582
Variance	1.9800063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	82458	30.7%
2	76383	28.4%
4	42789	15.9%
1	27057	10.1%
5	20523	7.6%
6	12866	4.8%
7	6774	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	27057	10.1%
2	76383	28.4%
3	82458	30.7%
4	42789	15.9%
5	20523	7.6%
6	12866	4.8%
7	6774	2.5%

Value	Count	Frequency (%)
7	6774	2.5%
6	12866	4.8%
5	20523	7.6%
4	42789	15.9%
3	82458	30.7%
2	76383	28.4%
1	27057	10.1%

regio2
Text

Distinct	419
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	39
Median length	29
Mean length	11.808168
Min length	3

Characters and Unicode

Total characters	3174626
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dortmund
2nd row	Rhein_Pfalz_Kreis
3rd row	Dresden
4th row	Mittelsachsen_Kreis
5th row	Bremen

Value	Count	Frequency (%)
leipzig	13723	5.1%
chemnitz	12575	4.7%
berlin	10406	3.9%
dresden	7522	2.8%
magdeburg	4860	1.8%
halle_saale	4565	1.7%
münchen	4383	1.6%
essen	4351	1.6%
frankfurt_am_main	4296	1.6%
hamburg	3759	1.4%
Other values (409)	198410	73.8%

Most occurring characters

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3174626	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	424715	13.4%
r	301685	9.5%
i	274078	8.6%
s	227570	7.2%
n	210371	6.6%
_	166249	5.2%
a	160276	5.0%
K	116521	3.7%
l	106367	3.4%
t	95234	3.0%
Other values (43)	1091560	34.4%

regio3
Text

Distinct	8684
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	54
Median length	39
Mean length	11.027699
Min length	2

Characters and Unicode

Total characters	2964797
Distinct characters	69
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1533 ?
Unique (%)	0.6%

Sample

1st row	Schüren
2nd row	Böhl_Iggelheim
3rd row	Äußere_Neustadt_Antonstadt
4th row	Freiberg
5th row	Neu_Schwachhausen

Value	Count	Frequency (%)
innenstadt	4751	1.8%
stadtmitte	2697	1.0%
altstadt	2334	0.9%
sonnenberg	1913	0.7%
kaßberg	1712	0.6%
mitte	1611	0.6%
hilbersdorf	1297	0.5%
schloßchemnitz	1266	0.5%
zentrum	1135	0.4%
südstadt	1117	0.4%
Other values (8674)	249017	92.6%

Most occurring characters

Value	Count	Frequency (%)
e	384148	13.0%
n	225388	7.6%
r	219184	7.4%
t	212048	7.2%
a	177931	6.0%
i	145578	4.9%
s	137404	4.6%
d	137338	4.6%
l	123494	4.2%
h	117855	4.0%
Other values (59)	1084429	36.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2964797	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	384148	13.0%
n	225388	7.6%
r	219184	7.4%
t	212048	7.2%
a	177931	6.0%
i	145578	4.9%
s	137404	4.6%
d	137338	4.6%
l	123494	4.2%
h	117855	4.0%
Other values (59)	1084429	36.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2964797	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	384148	13.0%
n	225388	7.6%
r	219184	7.4%
t	212048	7.2%
a	177931	6.0%
i	145578	4.9%
s	137404	4.6%
d	137338	4.6%
l	123494	4.2%
h	117855	4.0%
Other values (59)	1084429	36.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2964797	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	384148	13.0%
n	225388	7.6%
r	219184	7.4%
t	212048	7.2%
a	177931	6.0%
i	145578	4.9%
s	137404	4.6%
d	137338	4.6%
l	123494	4.2%
h	117855	4.0%
Other values (59)	1084429	36.6%

description
Text

MISSING

Distinct	212621
Distinct (%)	85.4%
Missing	19747
Missing (%)	7.3%
Memory size	2.1 MiB

Length

Max length	3949
Median length	2701
Mean length	510.72708
Min length	1

Characters and Unicode

Total characters	127223649
Distinct characters	337
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	197325 ?
Unique (%)	79.2%

Sample

1st row	Die ebenerdig zu erreichende Erdgeschosswohnung befindet sich in einem gepflegten 8-Familienhaus. Aufgrund der Hanglage bietet sich ein unverbaubarer Blick ins Grüne.
2nd row	Alles neu macht der Mai – so kann es auch für Sie in 2019 sein! Genießen Sie das „reine“ Gefühl und die „Unberührtheit“, die diese Wohnung nach der Kernsanierung bietet. Sie verfügt über eine Wohnfläche von ca. 89 m² und einen äußerst gelungenen Grundriss. Aufgeteilt ist die Wohnung in einen großzügigen Wohn-Essbereich, eine Küche, ein Schlafzimmer, ein Kinder- oder Arbeitszimmer, ein Bad, ein Gäste-WC und einen Flur. Von der Küche aus haben Sie direkten Zugang zum Balkon, der zum gemütlichen Verweilen und Entspannen einlädt. Das Badezimmer ist ausgestattet mit Dusche, Toilette, Waschbecken und praktischem Handtuchheizkörper. Zudem gibt es hier jeweils einen Anschluss für die Waschmaschine und für den Trockner. Sämtliche Räume in der Wohnung sind lichtdurchflutet, freundlich und einladend, verstärkt durch die weißen, doppelt verglasten Alufenster und die weißen Wände. Die Böden sind mit pflegeleichtem Vinyl-Boden und Fliesen ausgelegt und somit auch für Allergiker geeignet. Beheizt wird die Wohnung mittels einer neuen, energieeffizienten Gas-Etagenheizung der Firma Vaillant. Im Keller steht allen Mietern ein gemeinschaftlicher Raum zur Verfügung, der für zusätzlichen Stauraum sorgt. Abgerundet wird dieses tolle Angebot durch 2 Stellplätze, auf dem Sie Ihre Fahrzeuge stets sicher und ohne Parkplatzsuche parken können. Wir werden uns bemühen Ihre Anfrage so rasch als möglich zu beantworten, bitte haben Sie jedoch Verständnis, wenn dies 1-2 Werktage in Anspruch nehmen kann!
3rd row	Der Neubau entsteht im Herzen der Dresdner Neustadt. Das Baugrundstück befindet sich inmitten einer sehr gefragten Lage. Nicht nur die zentrale Lage und die schnelle öffentliche Verkehrsanbindung durch den zu Fuß erreichbaren Bahnhof, wie auch Nahverkehrsanbindung, sondern auch die Architektur werden diesen Neubaukomplex zu einem weiteren Highlight am Dresdner Wohnungsmarkt machen. Hier entstehen 2- bis 4-Raum Wohnungen mit Wohnflächen zwischen 43 m² und 124 m². Jede Wohnung verfügt über eine Terrasse oder einen Balkon, die Erdgeschosswohnungen erhalten zusätzlich einen Gartenanteil. Die Räumlichkeiten bieten großzügig durchdachte, lichtdurchflutete Räume mit effektiv geschnittenen Grundrissen.
4th row	Abseits von Lärm und Abgasen in Ihre neue Wohnung Ohne Stress, ohne Sorgen, schlüsselfertig einziehen. Das muss kein Traum bleiben.
5th row	Es handelt sich hier um ein saniertes Mehrfamilienhaus aus dem Jahr 1950.

Value	Count	Frequency (%)
und	587100	3.4%
die	475626	2.7%
mit	393307	2.3%
in	360349	2.1%
der	327669	1.9%
ein	275617	1.6%
wohnung	270491	1.6%
im	240631	1.4%
sich	226281	1.3%
	216301	1.2%
Other values (219136)	14017550	80.6%

Most occurring characters

Value	Count	Frequency (%)
	16788864	13.2%
e	16544271	13.0%
n	10349966	8.1%
i	8018359	6.3%
r	6682478	5.3%
t	6041225	4.7%
s	5322609	4.2%
a	5106980	4.0%
h	4587364	3.6%
u	4384723	3.4%
Other values (327)	43396810	34.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	127223649	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	16788864	13.2%
e	16544271	13.0%
n	10349966	8.1%
i	8018359	6.3%
r	6682478	5.3%
t	6041225	4.7%
s	5322609	4.2%
a	5106980	4.0%
h	4587364	3.6%
u	4384723	3.4%
Other values (327)	43396810	34.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	127223649	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	16788864	13.2%
e	16544271	13.0%
n	10349966	8.1%
i	8018359	6.3%
r	6682478	5.3%
t	6041225	4.7%
s	5322609	4.2%
a	5106980	4.0%
h	4587364	3.6%
u	4384723	3.4%
Other values (327)	43396810	34.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	127223649	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	16788864	13.2%
e	16544271	13.0%
n	10349966	8.1%
i	8018359	6.3%
r	6682478	5.3%
t	6041225	4.7%
s	5322609	4.2%
a	5106980	4.0%
h	4587364	3.6%
u	4384723	3.4%
Other values (327)	43396810	34.1%

facilities
Text

MISSING

Distinct	189526
Distinct (%)	87.8%
Missing	52924
Missing (%)	19.7%
Memory size	2.1 MiB

Length

Max length	3923
Median length	2293
Mean length	336.39852
Min length	1

Characters and Unicode

Total characters	72637186
Distinct characters	271
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	176510 ?
Unique (%)	81.7%

Sample

1st row	Die Wohnung ist mit Laminat ausgelegt. Das Badezimmer ist gefliest und verfügt über eine Wannendusche. Neue weiße Zimmertüren, ein Fliesenspiegel in der Küche und Fußleisten wurden kürzlich eingebaut. Zur Wohnung gehört ein 10 m großer Keller. Eine Garage kann optional mitgemietet werden.
2nd row	* 9 m² Balkon * Bad mit bodengleicher Dusche, Badewanne und Fenster * Gäste-WC * Waschmaschinenanschluss im Bad und im Waschkeller * Abstell * Fußbodenheizung * Fliesen & Echtholzparkett * elektrische Rollläden * Videotürsprechanlage mit Farbdisplay * Aufzug * KfW-Effizienshaus 55 * Tiefgaragenstellplatz (Miete bereits in der Gesamtmiete enthalten) ~ Der Mietbeginn: ca. Anfang 2020 ~ Baustelle: Betreten verboten! Besichtigungen noch nicht möglich!
3rd row	Diese Wohnung wurde neu saniert und ist wie folgt ausgestattet: - 3 geräumige Zimmer - Wohnzimmer mit optisch getrenntem Ess-,od. Arbeitsbereich - hochwertiger Vinylbodenbelag in allen Wohnräumen sowie im Flur - große Terrasse, hofseitig und mit Blick ins Grüne - Terrasse mit Markise , elektisch Bedienbar - neu und modern geflieste Küche mit Zugang zur Terrasse - kleine Speisekammer - neu und modern gefliestes Badezimmer mit Badewanne incl. Duschtrennwand Je nach Kapazität steht dem Mieter ein Keller zur Verfügung. Eine Garage kann optional angemietet werden.
4th row	helle ebenerdige 2 Zi. Wohnung mit Terrasse, helles Duschbad, helle EBK, Waschmaschinenanschluss Kaltmiete 315,20€ Nebenkostenvorauszahlung 62,00€ Heizkostenvorauszahlung 80,00€ = gesamt Warmmiete 457,20€
5th row	Rollläden; Warmwasserbereiter; Kellerraum; Gas-Zentralheizung; Rauchwarnmelder; Fenster mit Wärmeschutzverglasung; Bodenbelag PVC; Sat-Anlage/Kabel; Balkon;

Value	Count	Frequency (%)
	607609	6.4%
mit	368858	3.9%
und	366655	3.8%
die	215142	2.3%
in	167422	1.8%
der	143620	1.5%
wohnung	132585	1.4%
ist	116664	1.2%
im	112114	1.2%
bad	107481	1.1%
Other values (130305)	7209839	75.5%

Most occurring characters

Value	Count	Frequency (%)
e	9002912	12.4%
	8834662	12.2%
n	5505400	7.6%
i	4115417	5.7%
r	3695621	5.1%
t	3431460	4.7%
a	3339873	4.6%
s	3073988	4.2%
h	2497437	3.4%
l	2455435	3.4%
Other values (261)	26684981	36.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	72637186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	9002912	12.4%
	8834662	12.2%
n	5505400	7.6%
i	4115417	5.7%
r	3695621	5.1%
t	3431460	4.7%
a	3339873	4.6%
s	3073988	4.2%
h	2497437	3.4%
l	2455435	3.4%
Other values (261)	26684981	36.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	72637186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	9002912	12.4%
	8834662	12.2%
n	5505400	7.6%
i	4115417	5.7%
r	3695621	5.1%
t	3431460	4.7%
a	3339873	4.6%
s	3073988	4.2%
h	2497437	3.4%
l	2455435	3.4%
Other values (261)	26684981	36.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	72637186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	9002912	12.4%
	8834662	12.2%
n	5505400	7.6%
i	4115417	5.7%
r	3695621	5.1%
t	3431460	4.7%
a	3339873	4.6%
s	3073988	4.2%
h	2497437	3.4%
l	2455435	3.4%
Other values (261)	26684981	36.7%

heatingCosts
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	5669
Distinct (%)	6.6%
Missing	183332
Missing (%)	68.2%
Infinite	0
Infinite (%)	0.0%
Mean	76.990866

Minimum	0
Maximum	12613
Zeros	2754
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	54
median	70
Q3	90
95-th percentile	138
Maximum	12613
Range	12613
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	147.71628
Coefficient of variation (CV)	1.9186208
Kurtosis	4563.7772
Mean	76.990866
Median Absolute Deviation (MAD)	20
Skewness	63.887361
Sum	6584104.9
Variance	21820.099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	5310	2.0%
70	4811	1.8%
80	4763	1.8%
50	4286	1.6%
100	3970	1.5%
90	3015	1.1%
0	2754	1.0%
75	2601	1.0%
65	2588	1.0%
40	2088	0.8%
Other values (5659)	49332	18.3%
(Missing)	183332	68.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2754	1.0%
1	21	< 0.1%
1.2	1	< 0.1%
1.5	3	< 0.1%
2	3	< 0.1%
3	7	< 0.1%
3.22	1	< 0.1%
4	5	< 0.1%
4.84	1	< 0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
12613	1	< 0.1%
12043	1	< 0.1%
11908	1	< 0.1%
11786	1	< 0.1%
11754	1	< 0.1%
11461	1	< 0.1%
10767	1	< 0.1%
10223	1	< 0.1%
9452	1	< 0.1%
9016	2	< 0.1%

energyEfficiencyClass
Categorical

MISSING

Distinct	10
Distinct (%)	< 0.1%
Missing	191063
Missing (%)	71.1%
Memory size	2.1 MiB

C	14613
NO_INFORMATION	14130
D	13925
B	11333
E	7987
Other values (5)	15799

Length

Max length	14
Median length	1
Mean length	3.5940067
Min length	1

Characters and Unicode

Total characters	279567
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	E
3rd row	NO_INFORMATION
4th row	E
5th row	C

Common Values

Value	Count	Frequency (%)
C	14613	5.4%
NO_INFORMATION	14130	5.3%
D	13925	5.2%
B	11333	4.2%
E	7987	3.0%
A	4988	1.9%
F	4484	1.7%
A_PLUS	3618	1.3%
G	1806	0.7%
H	903	0.3%
(Missing)	191063	71.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
c	14613	18.8%
no_information	14130	18.2%
d	13925	17.9%
b	11333	14.6%
e	7987	10.3%
a	4988	6.4%
f	4484	5.8%
a_plus	3618	4.7%
g	1806	2.3%
h	903	1.2%

Most occurring characters

Value	Count	Frequency (%)
O	42390	15.2%
N	42390	15.2%
I	28260	10.1%
A	22736	8.1%
F	18614	6.7%
_	17748	6.3%
C	14613	5.2%
T	14130	5.1%
M	14130	5.1%
R	14130	5.1%
Other values (9)	50426	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	279567	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
O	42390	15.2%
N	42390	15.2%
I	28260	10.1%
A	22736	8.1%
F	18614	6.7%
_	17748	6.3%
C	14613	5.2%
T	14130	5.1%
M	14130	5.1%
R	14130	5.1%
Other values (9)	50426	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	279567	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
O	42390	15.2%
N	42390	15.2%
I	28260	10.1%
A	22736	8.1%
F	18614	6.7%
_	17748	6.3%
C	14613	5.2%
T	14130	5.1%
M	14130	5.1%
R	14130	5.1%
Other values (9)	50426	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	279567	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
O	42390	15.2%
N	42390	15.2%
I	28260	10.1%
A	22736	8.1%
F	18614	6.7%
_	17748	6.3%
C	14613	5.2%
T	14130	5.1%
M	14130	5.1%
R	14130	5.1%
Other values (9)	50426	18.0%

lastRefurbish
Real number (ℝ)

MISSING SKEWED

Distinct	88
Distinct (%)	0.1%
Missing	188139
Missing (%)	70.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.9045

Minimum	1015
Maximum	2919
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1015
5-th percentile	1997
Q1	2012
median	2017
Q3	2019
95-th percentile	2019
Maximum	2919
Range	1904
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	10.963125
Coefficient of variation (CV)	0.0054437162
Kurtosis	3718.1843
Mean	2013.9045
Median Absolute Deviation (MAD)	2
Skewness	24.624326
Sum	1.6254425 × 10⁸
Variance	120.19011
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2019	20202	7.5%
2018	13206	4.9%
2017	7111	2.6%
2016	5679	2.1%
2015	4638	1.7%
2020	3650	1.4%
2014	3468	1.3%
2013	2465	0.9%
2012	2283	0.8%
2010	1836	0.7%
Other values (78)	16173	6.0%
(Missing)	188139	70.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1015	1	< 0.1%
1867	1	< 0.1%
1893	1	< 0.1%
1898	1	< 0.1%
1900	5	< 0.1%
1903	2	< 0.1%
1905	1	< 0.1%
1910	1	< 0.1%
1914	1	< 0.1%
1918	1	< 0.1%

Value	Count	Frequency (%)
2919	2	< 0.1%
2918	1	< 0.1%
2917	1	< 0.1%
2916	1	< 0.1%
2145	1	< 0.1%
2118	1	< 0.1%
2115	1	< 0.1%
2107	2	< 0.1%
2021	3	< 0.1%
2020	3650	1.4%

electricityBasePrice
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	222004
Missing (%)	82.6%
Memory size	2.1 MiB

90.76	42856
71.43	3990

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	234230
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	90.76
2nd row	90.76
3rd row	90.76
4th row	90.76
5th row	90.76

Common Values

Value	Count	Frequency (%)
90.76	42856	15.9%
71.43	3990	1.5%
(Missing)	222004	82.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
90.76	42856	91.5%
71.43	3990	8.5%

Most occurring characters

Value	Count	Frequency (%)
.	46846	20.0%
7	46846	20.0%
9	42856	18.3%
0	42856	18.3%
6	42856	18.3%
1	3990	1.7%
4	3990	1.7%
3	3990	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	234230	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	46846	20.0%
7	46846	20.0%
9	42856	18.3%
0	42856	18.3%
6	42856	18.3%
1	3990	1.7%
4	3990	1.7%
3	3990	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	234230	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	46846	20.0%
7	46846	20.0%
9	42856	18.3%
0	42856	18.3%
6	42856	18.3%
1	3990	1.7%
4	3990	1.7%
3	3990	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	234230	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	46846	20.0%
7	46846	20.0%
9	42856	18.3%
0	42856	18.3%
6	42856	18.3%
1	3990	1.7%
4	3990	1.7%
3	3990	1.7%

electricityKwhPrice
Real number (ℝ)

MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	222004
Missing (%)	82.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.19976928

Minimum	0.1705
Maximum	0.2276
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0.1705
5-th percentile	0.1845
Q1	0.1915
median	0.1985
Q3	0.2055
95-th percentile	0.2195
Maximum	0.2276
Range	0.0571
Interquartile range (IQR)	0.014

Descriptive statistics

Standard deviation	0.0096670843
Coefficient of variation (CV)	0.048391246
Kurtosis	1.2431786
Mean	0.19976928
Median Absolute Deviation (MAD)	0.007
Skewness	0.46515851
Sum	9358.3916
Variance	9.3452519 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0.1985	14639	5.4%
0.2055	13076	4.9%
0.1915	10114	3.8%
0.1845	2952	1.1%
0.2276	1411	0.5%
0.2125	727	0.3%
0.2074	705	0.3%
0.1775	676	0.3%
0.2205	662	0.2%
0.2137	450	0.2%
Other values (5)	1434	0.5%
(Missing)	222004	82.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1705	240	0.1%
0.1775	676	0.3%
0.1845	2952	1.1%
0.1915	10114	3.8%
0.1985	14639	5.4%
0.2055	13076	4.9%
0.2074	705	0.3%
0.2125	727	0.3%
0.2132	404	0.2%
0.2137	450	0.2%

Value	Count	Frequency (%)
0.2276	1411	0.5%
0.2265	193	0.1%
0.2205	662	0.2%
0.2195	239	0.1%
0.2144	358	0.1%
0.2137	450	0.2%
0.2132	404	0.2%
0.2125	727	0.3%
0.2074	705	0.3%
0.2055	13076	4.9%

date
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Feb20	79276
May19	76047
Oct19	66685
Sep18	46842

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	1344250
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	May19
2nd row	May19
3rd row	Oct19
4th row	May19
5th row	Feb20

Common Values

Value	Count	Frequency (%)
Feb20	79276	29.5%
May19	76047	28.3%
Oct19	66685	24.8%
Sep18	46842	17.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
feb20	79276	29.5%
may19	76047	28.3%
oct19	66685	24.8%
sep18	46842	17.4%

Most occurring characters

Value	Count	Frequency (%)
1	189574	14.1%
9	142732	10.6%
e	126118	9.4%
F	79276	5.9%
b	79276	5.9%
2	79276	5.9%
0	79276	5.9%
M	76047	5.7%
a	76047	5.7%
y	76047	5.7%
Other values (6)	340581	25.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1344250	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	189574	14.1%
9	142732	10.6%
e	126118	9.4%
F	79276	5.9%
b	79276	5.9%
2	79276	5.9%
0	79276	5.9%
M	76047	5.7%
a	76047	5.7%
y	76047	5.7%
Other values (6)	340581	25.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1344250	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	189574	14.1%
9	142732	10.6%
e	126118	9.4%
F	79276	5.9%
b	79276	5.9%
2	79276	5.9%
0	79276	5.9%
M	76047	5.7%
a	76047	5.7%
y	76047	5.7%
Other values (6)	340581	25.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1344250	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	189574	14.1%
9	142732	10.6%
e	126118	9.4%
F	79276	5.9%
b	79276	5.9%
2	79276	5.9%
0	79276	5.9%
M	76047	5.7%
a	76047	5.7%
y	76047	5.7%
Other values (6)	340581	25.3%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	regio1	serviceCharge	heatingType	telekomTvOffer	telekomHybridUploadSpeed	newlyConst	balcony	picturecount	pricetrend	telekomUploadSpeed	totalRent	yearConstructed	scoutId	noParkSpaces	firingTypes	hasKitchen	geo_bln	cellar	yearConstructedRange	baseRent	houseNumber	livingSpace	geo_krs	condition	interiorQual	petsAllowed	street	streetPlain	lift	baseRentRange	typeOfFlat	geo_plz	noRooms	thermalChar	floor	numberOfFloors	noRoomsRange	garden	livingSpaceRange	regio2	regio3	description	facilities	heatingCosts	energyEfficiencyClass	lastRefurbish	electricityBasePrice	electricityKwhPrice	date
0	Nordrhein_Westfalen	245.00	central_heating	ONE_YEAR_FREE	NaN	False	False	6	4.62	10.0	840.00	1965.0	96107057	1.0	oil	False	Nordrhein_Westfalen	True	2.0	595.00	244	86.00	Dortmund	well_kept	normal	NaN	Schüruferstraße	Schüruferstraße	False	4	ground_floor	44269	4.0	181.4	1.0	3.0	4	True	4	Dortmund	Schüren	Die ebenerdig zu erreichende Erdgeschosswohnung befindet sich in einem gepflegten 8-Familienhaus. Aufgrund der Hanglage bietet sich ein unverbaubarer Blick ins Grüne.	Die Wohnung ist mit Laminat ausgelegt. Das Badezimmer ist gefliest und verfügt über eine Wannendusche. Neue weiße Zimmertüren, ein Fliesenspiegel in der Küche und Fußleisten wurden kürzlich eingebaut.\nZur Wohnung gehört ein 10 m großer Keller. Eine Garage kann optional mitgemietet werden.	NaN	NaN	NaN	NaN	NaN	May19
1	Rheinland_Pfalz	134.00	self_contained_central_heating	ONE_YEAR_FREE	NaN	False	True	8	3.47	10.0	NaN	1871.0	111378734	2.0	gas	False	Rheinland_Pfalz	False	1.0	800.00	NaN	89.00	Rhein_Pfalz_Kreis	refurbished	normal	no	no_information	NaN	False	5	ground_floor	67459	3.0	NaN	NaN	NaN	3	False	4	Rhein_Pfalz_Kreis	Böhl_Iggelheim	Alles neu macht der Mai – so kann es auch für Sie in 2019 sein! Genießen Sie das „reine“ Gefühl und die „Unberührtheit“, die diese Wohnung nach der Kernsanierung bietet.\n\nSie verfügt über eine Wohnfläche von ca. 89 m² und einen äußerst gelungenen Grundriss.\n\nAufgeteilt ist die Wohnung in einen großzügigen Wohn-Essbereich, eine Küche, ein Schlafzimmer, ein Kinder- oder Arbeitszimmer, ein Bad, ein Gäste-WC und einen Flur.\n\nVon der Küche aus haben Sie direkten Zugang zum Balkon, der zum gemütlichen Verweilen und Entspannen einlädt.\n\nDas Badezimmer ist ausgestattet mit Dusche, Toilette, Waschbecken und praktischem Handtuchheizkörper. Zudem gibt es hier jeweils einen Anschluss für die Waschmaschine und für den Trockner.\n\nSämtliche Räume in der Wohnung sind lichtdurchflutet, freundlich und einladend, verstärkt durch die weißen, doppelt verglasten Alufenster und die weißen Wände. \n\nDie Böden sind mit pflegeleichtem Vinyl-Boden und Fliesen ausgelegt und somit auch für Allergiker geeignet.\n\nBeheizt wird die Wohnung mittels einer neuen, energieeffizienten Gas-Etagenheizung der Firma Vaillant. \n\nIm Keller steht allen Mietern ein gemeinschaftlicher Raum zur Verfügung, der für zusätzlichen Stauraum sorgt.\n\nAbgerundet wird dieses tolle Angebot durch 2 Stellplätze, auf dem Sie Ihre Fahrzeuge stets sicher und ohne Parkplatzsuche parken können.\n\n\nWir werden uns bemühen Ihre Anfrage so rasch als möglich zu beantworten, bitte haben Sie jedoch Verständnis, wenn dies 1-2 Werktage in Anspruch nehmen kann!	NaN	NaN	NaN	2019.0	NaN	NaN	May19
2	Sachsen	255.00	floor_heating	ONE_YEAR_FREE	10.0	True	True	8	2.72	2.4	1300.00	2019.0	113147523	1.0	NaN	False	Sachsen	True	9.0	965.00	4	83.80	Dresden	first_time_use	sophisticated	NaN	Turnerweg	Turnerweg	True	6	apartment	1097	3.0	NaN	3.0	4.0	3	False	4	Dresden	Äußere_Neustadt_Antonstadt	Der Neubau entsteht im Herzen der Dresdner Neustadt.\nDas Baugrundstück befindet sich inmitten einer sehr gefragten Lage.\nNicht nur die zentrale Lage und die schnelle öffentliche\nVerkehrsanbindung durch den zu Fuß erreichbaren Bahnhof, wie auch Nahverkehrsanbindung, sondern auch die Architektur werden diesen\nNeubaukomplex zu einem weiteren Highlight am Dresdner Wohnungsmarkt machen.\nHier entstehen 2- bis 4-Raum Wohnungen mit Wohnflächen zwischen 43 m² und 124 m². Jede Wohnung verfügt über eine Terrasse oder einen Balkon, die Erdgeschosswohnungen erhalten zusätzlich einen Gartenanteil. Die Räumlichkeiten bieten großzügig durchdachte, lichtdurchflutete Räume mit effektiv geschnittenen Grundrissen.	* 9 m² Balkon\n* Bad mit bodengleicher Dusche, Badewanne und Fenster\n* Gäste-WC\n* Waschmaschinenanschluss im Bad und im Waschkeller\n* Abstell\n* Fußbodenheizung\n* Fliesen & Echtholzparkett\n* elektrische Rollläden\n* Videotürsprechanlage mit Farbdisplay\n* Aufzug\n* KfW-Effizienshaus 55\n* Tiefgaragenstellplatz (Miete bereits in der Gesamtmiete enthalten)\n\n~ Der Mietbeginn: ca. Anfang 2020\n~ Baustelle: Betreten verboten! Besichtigungen noch nicht möglich!	NaN	NaN	NaN	NaN	NaN	Oct19
3	Sachsen	58.15	district_heating	ONE_YEAR_FREE	NaN	False	True	9	1.53	40.0	NaN	1964.0	108890903	NaN	district_heating	False	Sachsen	False	2.0	343.00	35	58.15	Mittelsachsen_Kreis	NaN	NaN	NaN	Glück-Auf-Straße	Glück-Auf-Straße	False	2	other	9599	3.0	86.0	3.0	NaN	3	False	2	Mittelsachsen_Kreis	Freiberg	Abseits von Lärm und Abgasen in Ihre neue Wohnung\r\nOhne Stress, ohne Sorgen, schlüsselfertig einziehen.\r\nDas muss kein Traum bleiben.	NaN	87.23	NaN	NaN	NaN	NaN	May19
4	Bremen	138.00	self_contained_central_heating	NaN	NaN	False	True	19	2.46	NaN	903.00	1950.0	114751222	NaN	gas	False	Bremen	False	1.0	765.00	10	84.97	Bremen	refurbished	NaN	NaN	Hermann-Henrich-Meier-Allee	Hermann-Henrich-Meier-Allee	False	5	apartment	28213	3.0	188.9	1.0	NaN	3	False	4	Bremen	Neu_Schwachhausen	Es handelt sich hier um ein saniertes Mehrfamilienhaus aus dem Jahr 1950. \n\r	Diese Wohnung wurde neu saniert und ist wie folgt ausgestattet:\r\r- 3 geräumige Zimmer\r- Wohnzimmer mit optisch getrenntem Ess-,od. Arbeitsbereich\r- hochwertiger Vinylbodenbelag in allen Wohnräumen sowie im Flur\r- große Terrasse, hofseitig und mit Blick ins Grüne\r- Terrasse mit Markise , elektisch Bedienbar\r- neu und modern geflieste Küche mit Zugang zur Terrasse\r- kleine Speisekammer\r- neu und modern gefliestes Badezimmer mit Badewanne incl. Duschtrennwand\r\rJe nach Kapazität steht dem Mieter ein Keller zur Verfügung. \r\rEine Garage kann optional angemietet werden.\r	NaN	NaN	NaN	NaN	NaN	Feb20
5	Schleswig_Holstein	142.00	gas_heating	NONE	NaN	False	True	5	4.48	2.4	NaN	1999.0	115531145	NaN	gas	True	Schleswig_Holstein	False	5.0	315.20	1e	53.43	Schleswig_Flensburg_Kreis	well_kept	NaN	no	Hardeseiche	Hardeseiche	False	2	apartment	24891	2.0	165.0	NaN	NaN	2	False	2	Schleswig_Flensburg_Kreis	Struxdorf	NaN	helle ebenerdige 2 Zi. Wohnung mit Terrasse, helles Duschbad, helle EBK, Waschmaschinenanschluss\r\nKaltmiete 315,20€ Nebenkostenvorauszahlung 62,00€ Heizkostenvorauszahlung 80,00€ = gesamt Warmmiete 457,20€\r\n	NaN	NaN	NaN	NaN	NaN	Feb20
6	Sachsen	70.00	self_contained_central_heating	ONE_YEAR_FREE	10.0	False	False	9	1.01	2.4	380.00	NaN	114391930	NaN	NaN	False	Sachsen	True	NaN	310.00	14	62.00	Mittelsachsen_Kreis	fully_renovated	NaN	NaN	Am Bahnhof	Am_Bahnhof	False	2	NaN	9599	2.0	NaN	1.0	4.0	2	True	3	Mittelsachsen_Kreis	Freiberg	Am Bahnhof 14 in Freiberg\nHeizkosten und Warmwasseraufbereitung sind direkt an Versorgungsträger zu richten. ca. 70,- Euro monatlich\nNicht in den angegebenen Nebenkosten enthalten (Etagenheizung)\nGroßes Tageslichtbad mit Wanne und Waschmaschinenanschluss\n\nHinweis Energieausweis: Nicht notwendig da Denkmalschutz\nAnbieter-Objektnummer: ABM141OGl	NaN	NaN	NaN	NaN	NaN	NaN	Feb20
7	Bremen	88.00	central_heating	ONE_YEAR_FREE	10.0	False	True	5	1.89	2.4	584.25	1959.0	115270775	NaN	gas:electricity	False	Bremen	True	2.0	452.25	35	60.30	Bremen	NaN	NaN	NaN	Lesumer Heerstr.	Lesumer_Heerstr.	False	3	ground_floor	28717	3.0	63.0	NaN	NaN	3	False	2	Bremen	St._Magnus	+ Komfortabler Bodenbelag: Die Wohnung ist zusätzlich mit barrierearmen und pflegeleichten Fußbodenbelag ausgestattet.\n\nDiese schöne 3-Zimmer-Wohnung befindet sich in einer sehr gepflegten Wohnanalge in bester Lage von Lesum. Der Balkon lädt Sie zum verweilen ein. Das Tageslichtbad ist mit einer Badewanne ausgestattet, hier können Sie sich nach einem stressigen Tag entspannen. Die Küche ist mit einem Fliesenspiegel ausgestattet und bietetn Platz für Ihre eigene Einbauküche.\n\nWir sind für Sie vor Ort: Mittwochs 14:00 - 17:00 Uhr - Seefahrtstr. 7 in 28759 Bremen - Wir freuen uns auf Ihren Besuch.\n\n	Rollläden; Warmwasserbereiter; Kellerraum; Gas-Zentralheizung; Rauchwarnmelder; Fenster mit Wärmeschutzverglasung; Bodenbelag PVC; Sat-Anlage/Kabel; Balkon;	44.00	B	NaN	NaN	NaN	Feb20
8	Baden_Württemberg	110.00	oil_heating	ONE_YEAR_FREE	NaN	False	False	5	3.77	40.0	690.00	1970.0	106416361	1.0	oil	True	Baden_Württemberg	True	2.0	580.00	NaN	53.00	Emmendingen_Kreis	well_kept	sophisticated	no	no_information	NaN	False	4	roof_storey	79211	2.0	138.0	2.0	2.0	2	False	2	Emmendingen_Kreis	Denzlingen	Diese ansprechende, lichtdurchflutete DG-Wohnung im zweiten OG besticht durch eine gehobene Innenausstattung. Zu dem Objekt zählen zwei schöne Zimmer. Ein aktueller Energieausweis liegt vor (Dach wurde mit Wärmedämmung ausgestattet). Eine Einbauküche und ein Kellerraum stehen Ihnen außerdem zur Verfügung. Bei Interesse kann eine abschließbare Einzelgarage hinzugemietet werden (70€ / Monat).	Parkett, Einbauküche, kein Balkon	NaN	E	NaN	NaN	NaN	Feb20
9	Nordrhein_Westfalen	95.00	self_contained_central_heating	ONE_YEAR_FREE	NaN	False	False	7	1.92	40.0	NaN	1953.0	91383597	NaN	gas	False	Nordrhein_Westfalen	True	2.0	300.00	30	60.00	Gelsenkirchen	well_kept	normal	negotiable	Hüttenstr.	Hüttenstr.	False	1	apartment	45888	2.5	207.7	2.0	5.0	2	False	2	Gelsenkirchen	Bulmke_Hüllen	Sie sind auf der Suche nach einer gepflegten und günstigen 2,5 Raum - Etagenwohnung in einer zentrumsnahen Lage?\n\nHier ist Sie.\n\nSie setzt sich aus einem Wohnzimmer, einer Küche mit Abstellraum und einem Schlafzimmer nebst Badezimmer zusammen, die alle von der Diele aus begehbar sind. \n\nVor allem das Wohnzimmer überzeugt durch seine ansprechende Größe und bietet reichlich Platz für Ihr Mobiliar.\n\nDie Küche bietet genügend Platz für eine Einbauküche und einen kleinen Esstisch und verfügt über einen praktischen Abstellschrank.\n\nDas Schlafzimmer erlaubt das Aufstellen von einem Kleiderschrank und einem Bett.\n\nDas Badezimmer mit Fenster befindet sich in einem gepflegten Zustand und verfügt über eine Badewanne, einem Waschbecken und einem WC.\n\nAufgrund großer Fenster macht die Wohnung insgesamt einen sehr hellen und freundlichen Eindruck.	In Ihrem neuen Zuhause können Sie nach wenigen Handgriffen einziehen.\n\nDie Wände sind mit den Tapeten des Vormieters versehen und müssten gegebenenfalls erneuert werden.\n\nDas Wohnzimmer und die Diele sind am Boden mit einem Laminat ausgestattet.\n\nDie Küche ist am Boden gefliest. Ebenfalls befindet sich in der Küche ein Fliesenspiegel.\n\nZur Zeit befindet sich im Schlafzimmer ein Teppichboden.\n\nDas moderne und anschauliche Tageslichtbad ist deckenhoch an den Wänden gefliest. Am Boden befinden sich ebenfalls Fliesen. Es ist mit einer Badewanne, einem Waschbecken und einem WC ausgestattet.\n\nAn der Decke befinden sich Holz Paneele, in welche Halogen Spoots eingelassen wurden.\n\nDie Wohnung wird mittels einer Gas-Etagenheizung beheizt.\n\nDie Warmwasseraufbereitung erfolgt kostengünstig über die Heizungsanlage.\n\nAuf dem Dachboden besteht die Möglichkeit Wäsche zu trocknen.	NaN	NaN	NaN	NaN	NaN	Oct19

	regio1	serviceCharge	heatingType	telekomTvOffer	telekomHybridUploadSpeed	newlyConst	balcony	picturecount	pricetrend	telekomUploadSpeed	totalRent	yearConstructed	scoutId	noParkSpaces	firingTypes	hasKitchen	geo_bln	cellar	yearConstructedRange	baseRent	houseNumber	livingSpace	geo_krs	condition	interiorQual	petsAllowed	street	streetPlain	lift	baseRentRange	typeOfFlat	geo_plz	noRooms	thermalChar	floor	numberOfFloors	noRoomsRange	garden	livingSpaceRange	regio2	regio3	description	facilities	heatingCosts	energyEfficiencyClass	lastRefurbish	electricityBasePrice	electricityKwhPrice	date
268840	Hessen	112.13	district_heating	ONE_YEAR_FREE	10.0	False	True	14	6.90	2.4	1479.64	2016.0	106995489	1.0	district_heating	True	Hessen	True	9.0	1255.38	20	89.67	Frankfurt_am_Main	mint_condition	sophisticated	yes	Gundelandst.	Gundelandst.	True	7	apartment	60435	3.0	22.45	2.0	4.0	3	True	4	Frankfurt_am_Main	Preungesheim	Hell und luftig präsentiert sich der fünfgeschossige Bau in dem neu entwickelten „Apfel-Quartier“ von Frankfurt-Preungesheim. Die 130 Mietwohnungen und drei Townhouses, die von attraktiven Ladenflächen im Erdgeschoss ergänzt werden, bilden eine geschlossene und doch einladende Einheit. Der stimmige Entwurf stammt aus der Feder des Architekturbüros Landes & Partner, das wegen seines hohen Anspruchs an die Ästhetik und Funktionalität seiner Objekte ein hohes Renommee genießt.	Neben der attraktiven Optik überzeugen auch die inneren Werte der Gravensteiner Arkaden. Das KfW-Effizienzhaus punktet unter anderem mit dreifach verglasten Fenstern und einer erfreulich sparsamen Fußbodenheizung. Auch bei der weiteren Ausstattung wurde größter Wert auf Qualität gelegt: Echtholzparkett im Wohn-Ess-Bereich, Markenprodukte von Grohe in den Bädern und ein außen liegender Sonnenschutz sind nur einige Details, die für das gewisse Extra an Wohlgefühl sorgen. Ein besonderes Highlight ist die voll ausgestattete Küche, die im Mietpreis enthalten ist und mit ihren hochwertigen Miele-Geräten selbst anspruchsvolle Köche begeistert.	112.13	A_PLUS	2016.0	90.76	0.1985	Sep18
268841	Sachsen_Anhalt	98.00	central_heating	ONE_YEAR_FREE	NaN	False	True	2	1.56	40.0	424.52	1994.0	110721511	NaN	gas:electricity	False	Sachsen_Anhalt	True	5.0	302.52	11	57.08	Magdeburg	NaN	NaN	NaN	Thomas-Mann-Str.	Thomas-Mann-Str.	False	2	apartment	39114	2.5	123.00	2.0	NaN	2	False	2	Magdeburg	Cracau	Nahe der GETEC-Arena und der Elbe steht dieses gepflegte Hochhaus. Hier wohnen Sie wunderbar ruhig und mit einem schönen Blick ins Grüne. Das Haus verfügt über eine effiziente Wärmedämmung und einen gemütlichen Gemeinschaftsgarten.\n\n	Türsprechanlage; Warmwasserbereiter; Kellerraum; Gas-Zentralheizung; Rauchwarnmelder; Bodenbelag PVC; Wärmedämmung der Kellerdecke; Fassadenvollwärmeschutz; Balkon;	24.00	D	NaN	NaN	NaN	May19
268842	Sachsen	140.00	NaN	ONE_YEAR_FREE	NaN	False	False	7	0.54	40.0	440.00	NaN	111857041	1.0	NaN	True	Sachsen	False	NaN	300.00	68	59.89	Zwickau	NaN	NaN	NaN	Mühlpfortstraße	Mühlpfortstraße_	False	1	maisonette	8058	2.0	NaN	3.0	0.0	2	False	2	Zwickau	Nordvorstadt	NaN	NaN	0.00	NaN	NaN	NaN	NaN	Oct19
268843	Sachsen	120.00	central_heating	ONE_YEAR_FREE	NaN	False	True	12	2.00	40.0	368.00	1930.0	91110231	NaN	gas	False	Sachsen	True	1.0	248.00	81	55.00	Chemnitz	negotiable	simple	negotiable	Neefestraße	Neefestraße	False	1	apartment	9119	2.0	129.00	1.0	4.0	2	True	2	Chemnitz	Kappel	Es handelt sich um ein Mehrfamilienhaus mit 6 Wohneinheiten, erbaut um 1930 und im Jahr 2010 durch den Eigentümer umfassend saniert.	- Küche Fliesenfußboden \n- Wohnzimmer / Schlafzimmer Laminat \n- kleines Bad gefliest mit Dusche u. Fenster\n- kleiner Balkon \n- DSL \n- Isofenster	NaN	NaN	2010.0	90.76	0.2055	Sep18
268844	Nordrhein_Westfalen	80.00	gas_heating	ONE_YEAR_FREE	10.0	False	False	12	2.58	2.4	670.00	NaN	115526313	NaN	gas	False	Nordrhein_Westfalen	False	NaN	590.00	NaN	85.00	Essen	first_time_use_after_refurbishment	sophisticated	negotiable	no_information	NaN	False	4	roof_storey	45279	3.0	NaN	3.0	3.0	3	False	4	Essen	Horst	Bei dieser ansprechenden Immobilie handelt es sich um einen Erstbezug nach Sanierung in eine 85m² große helle Dachgeschosswohnung in der dritten Etage, Küche, Diele, Bad, Abstellraum die durch eine gehobene Innenausstattung besticht und ab sofort bezogen werden kann. Das Objekt verfügt über drei attraktive Zimmer. Die letzte Modernisierung fand erst im Jahr 2019 statt.	NaN	NaN	NaN	2019.0	NaN	NaN	Feb20
268845	Bayern	90.00	heat_pump	ONE_YEAR_FREE	NaN	False	True	0	2.74	10.0	910.00	2016.0	115641081	1.0	geothermal	False	Bayern	True	9.0	820.00	NaN	90.00	Weilheim_Schongau_Kreis	mint_condition	sophisticated	no	no_information	NaN	False	6	roof_storey	82390	3.0	NaN	NaN	NaN	3	False	4	Weilheim_Schongau_Kreis	Eberfing	Diese schöne, neuwertige Wohnung im Dachgeschoss zeichnet sich durch eine gehobene Innenausstattung und Bergblick aus.\nEin Stellplatz, ein Geräteschuppen, eine Garage und ein Kellerabteil sind zusätzlich vorhanden.	Fliesen und Parkett. Sichtbarer Dachstuhl.	NaN	NaN	NaN	NaN	NaN	Feb20
268846	Hessen	220.00	gas_heating	NaN	NaN	False	True	12	6.49	NaN	1150.00	1983.0	96981497	1.0	gas	True	Hessen	False	4.0	930.00	NaN	115.00	Bergstraße_Kreis	well_kept	sophisticated	negotiable	no_information	NaN	False	6	apartment	68519	3.5	NaN	1.0	1.0	3	False	5	Bergstraße_Kreis	Viernheim	Hier wird eine Wohnung im 2 Familienhaus angeboten.\nDie Wohung liegt in der Nordweststadt.	Parkett, Kamin, Badewanne&Dusche\nGroßer Balkon, Einbauküche	NaN	NaN	2015.0	NaN	NaN	May19
268847	Hessen	220.00	central_heating	ONE_YEAR_FREE	NaN	False	True	21	2.90	40.0	930.00	1965.0	66924271	1.0	gas	False	Hessen	True	2.0	650.00	10	95.00	Limburg_Weilburg_Kreis	well_kept	NaN	negotiable	Emsbachstrasse	Emsbachstrasse	False	5	apartment	65552	4.0	160.77	1.0	2.0	4	True	4	Limburg_Weilburg_Kreis	Limburg_an_der_Lahn	gemütliche 4-Zimmer-Wohnung im Obergeschoss eines 2-Familienhauses, Wohnzimmer mit Balkonausgang, 2 Schlafräume, Arbeitszimmer oder sep. Esszimmer, Tageslichtbad mit Dusche, sep. WC, Küche, Kellerraum, Waschküche mit Gartenausgang, 770 m² Grundstück, Gartenmitbenutzung, Garage mit Funktor.	Böden: Wohn-/Schlafbereich = Laminat, Küche + Flur = Linoleum, Bad = Fliesen. Zentrale SAT-Anlage mit Anschlußmöglichkeiten in allen Zimmern. Das Haus wurde komplett mit einem Vollwärmeschutz versehen. Neue Zentralheizung im Frühjahr 2019 installiert. Die vorhandene Einbauküche mit Geräten kann auf Wunsch vom Vormieter übernommen werden.	NaN	NaN	2019.0	NaN	NaN	Feb20
268848	Nordrhein_Westfalen	175.00	heat_pump	NaN	NaN	True	True	16	4.39	NaN	1015.00	2019.0	110938302	1.0	gas	False	Nordrhein_Westfalen	True	9.0	840.00	58	70.00	Köln	first_time_use	sophisticated	no	Idastraße	Idastraße	True	6	apartment	51069	2.0	24.70	NaN	5.0	2	False	3	Köln	Dellbrück	Neubau Erstbezug, gehobener Standard, alle Einheiten mit Terrasse oder Balkon.\n\nQuadratmeterpreis (kalt): € 12,00\nNebenkosten (warm) je m²: € 2,50\n\n2- und 3-Zimmerwohnungen.\n\nfreie Wohnungsgrößen zwischen 66 und 110 m².\n\nCa. 70% bereits vermietet. Zwei Musterwohnungen können besichtigt werden.\n\nGrundrisse finden Sie unter \nwww.dig.koeln zum download\n\nHeizung/Warmwasser über Wärmepumpe (Luft-Luft), Zugeheizt über Gas, KfW 55 Effizienzhaus\n\nBitte bei Anfragen konkret mitteilen für welche Einheit Sie sich interessieren.\n\nFreie Einheiten können der anliegende Liste entnommen werden.	Wände:\nMalervlies, weiß gestrichen alternativ Raufaser\nBöden:\nParkett Schiffsboden Eiche und Feinsteinzeugfliesen 30 x 60 cm\nFußbodenheizung:\nmit Einzelraumsteuerung\nEnergieeffizienz:\nKfW-Effizienzhaus 55 nach aktueller EnEV\nBarrierereduziert:\nbarrierefreier Zugang zu allen Einheiten\nAufzug:\nin allen Geschossen\nErhöhter Schallschutz:\nim gesamten Objekt\nLichte Raumhöhen:\nzwischen 260 bis 340 cm\nEingangstüren:\nWK2, dreifach verriegelt\nGegensprechanlage:\nmit Videokamera\nSanitärausstattung:\nDuravit, Modell Stark 3 oder vergleichbar\nArmaturen:\nHans Grohe, Model Talis S oder vergleichbar\nRollläden:\nim EG und nach Wärmeschutzkonzept\nTiefgaragentor:\nin der Tiefgarage\nFahrräderabstellplatz:\nin der Tiefgarage und vor dem Haus\nAbstellraum:\nin allen Einheiten\nBalkone:\nmit einer Tiefe von 2,00 m	40.00	NO_INFORMATION	2019.0	NaN	NaN	May19
268849	Hessen	315.00	central_heating	NaN	NaN	False	True	9	5.00	NaN	NaN	1972.0	115524054	1.0	district_heating	True	Hessen	True	3.0	935.00	8	77.00	Frankfurt_am_Main	modernized	NaN	NaN	Robert-Dißmann-Str.	Robert-Dißmann-Str.	True	6	apartment	65936	3.0	NaN	NaN	13.0	3	False	3	Frankfurt_am_Main	Sossenheim	Schöne, helle, gut geschnittene und teilmöblierte Drei-Zimmer-Wohnung in gepflegter Wohnanlage.\nBalkon, Einbauküche und Wannenbad. Schöne Aussicht auf Frankfurter Skyline und Taunus.	Balkon, Keller, Fahrstuhl, Vollbad, Einbauküche, Laminat\n\nBemerkungen:\nWohn- und Esszimmer: Couch und Couchtisch(anders als im Bild), Esstisch und Stühle\nKüche: Einbauküche mit Backofen, Kühl- und Gefrierschrank, kochfeld, Dunstabzug\nElternzimmer: Bett 180cmx200cm wie in Bild, Kleiderschrank 250cm breit wie im Bild, zwei Nachttische und zwei Kommoden.\nKinderzimmer: Bett 140cmx 200cm und Schreibtisch und Stuhl.	NaN	NaN	NaN	NaN	NaN	Feb20

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